{"title":"Probability and statistics Books","description":"","products":[{"product_id":"simply-maths-9780241515686","title":"Simply Maths","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Dorling Kindersley Ltd","offers":[{"title":"Default Title","offer_id":47832841126231,"sku":"9780241515686","price":11.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241515686.jpg?v=1710338823"},{"product_id":"how-to-lie-with-statistics-9780140136296","title":"How to Lie with Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e''A great introduction to a crucial topic'' Bill Gates\u003cbr\u003e\u003cbr\u003e''Perhaps the most popular book on statistics ever published ... It''s a marvel ... gave me a peek behind the curtain of statistical manipulation, showing me how the swindling was done so that I would not be fooled again'' Tim Harford\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003eIn 1954, Darrell Huff decided enough was enough. Fed up with politicians, advertisers and journalists using statistics to sensationalise, inflate, confuse, oversimplify and - on occasion - downright lie, he decided to shed light on their ill-informed and sneaky ways. \u003ci\u003eHow to Lie with Statistics\u003c\/i\u003e is the result - the definitive and hilarious primer in the ways statistics are used to deceive.\u003cbr\u003e\u003cbr\u003eWith over one and half million copies sold around the world, it has delighted generations of readers with its cheeky takes on the ins and outs of samples, averages, errors, graphs and indexes. And in the modern world of big data and misinformation, Huff remains the perfect guide t\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eMore relevant than ever . . . a\u003c\/b\u003e \u003cb\u003egreat introduction to the use of statistics\u003c\/b\u003e -- Bill Gates\u003cbr\u003eA hilarious exploration of mathematical mendacity.... \u003cb\u003eEvery time you pick it up, what happens? Bang goes another illusion!\u003c\/b\u003e * New York Times *\u003cbr\u003eA pleasantly subversive little book\u003cb\u003e guaranteed to undermine your faith in the almighty statistic\u003c\/b\u003e * Atlantic *\u003c\/p\u003e","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732345794903,"sku":"9780140136296","price":10.44,"currency_code":"GBP","in_stock":true}]},{"product_id":"the-drunkards-walk-9780141026473","title":"The Drunkards Walk","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eLeonard Mlodinow''s \u003ci\u003eThe Drunkard''s Walk: How Randomness Rules Our Lives\u003c\/i\u003e is an exhilarating, eye-opening guide to understanding our random world.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eRandomness and uncertainty surround everything we do. So why are we so bad at understanding them? \u003cbr\u003e\u003cbr\u003eThe same tools that help us understand the random paths of molecules can be applied to the randomness that governs so many aspects of our everyday lives, from winning the lottery to road safety, and reveals the truth about the success of sporting heroes and film stars, and even how to make sense of a blood test.\u003cbr\u003e\u003cbr\u003e\u003ci\u003eThe Drunkard''s Walk\u003c\/i\u003e reveals the psychological illusions that prevent us understanding everything from stock-picking to wine-tasting - read it, or risk becoming another victim of chance.\u003cbr\u003e\u003cbr\u003e''A wonderfully readable guide to how the mathematical laws of randomness affect our lives'' Stephen Hawking, author of \u003ci\u003eA Brief History of Time\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Mlodinow writes in a breezy style, interspersing probabilistic mind-benders with portraits of theorists ! The result is a readable crash course in randomness.' New York Times  'If you're strong enough to have some of your favorite assumptions challenged, please read the Drunkard's Walk, a history, explanation, and exaltation of probability theory.' Fortune magazine","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732396093783,"sku":"9780141026473","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780141026473.jpg?v=1719996697"},{"product_id":"fooled-by-randomness-9780141031484","title":"Fooled by Randomness","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eEveryone wants to succeed in life. But what causes some of us to be more successful than others? Is it really down to skill and strategy - or something altogether more unpredictable? This book intends to change the way you think about business and the world.","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732399665495,"sku":"9780141031484","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780141031484.jpg?v=1719996713"},{"product_id":"the-signal-and-the-noise-9780141975658","title":"The Signal and the Noise","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eThe International Bestseller by ''The Galileo of number crunchers'' (\u003ci\u003eIndependent\u003c\/i\u003e)\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003eEvery time we choose a route to work, decide whether to go on a second  date, or set aside money for a rainy day, we are making a prediction  about the future. Yet from the financial crisis to ecological disasters,  we routinely fail to foresee hugely significant events, often at great  cost to society. The rise of ''big data'' has the potential to help us  predict the future, yet much of it is misleading, useless or  distracting.\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eThe Signal and the Noise\u003c\/i\u003e, the \u003ci\u003eNew York Times\u003c\/i\u003e  political forecaster Nate Silver, who accurately predicted the results  of every state in the 2012 US election, reveals how we can all develop  better foresight in an uncertain world. From the stock market to the  poker table, from earthquakes to the economy, he takes us on an  enthralling insider''s tour of the high-stakes world of forecasting,  showing how we can all learn to detect the true signals amid a noise of  data.\u003cbr\u003e\u003cbr\u003e ''Remarkable and rewarding'' Matthew D''Ancona, \u003ci\u003eSunday Telegraph\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e''A lucid explanation of how to think probabilistically'' \u003ci\u003eGuardian\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eOutstanding... I was hooked -- Tim Harford * Financial Times *\u003cbr\u003eOne of the more momentous books of the decade * The New York Times Book Review *\u003cbr\u003eA lucid explanation of how to think probabilistically * Guardian *\u003cbr\u003eThe inhabitants of Westminster are speed-reading \u003ci\u003eThe Signal and the Noise... \u003c\/i\u003eThey will find the book remarkable and rewarding * Sunday Telegraph *\u003cbr\u003eIs there anything now that Nate Silver could tell us that we wouldn't believe? * Jonathan Freedland *\u003cbr\u003eFascinating... our age's Brunel -- Bryan Appleyard * Sunday Times *\u003cbr\u003eA surprisingly accessible peek into the world of mathematical probability -- Daily Telegraph\u003cbr\u003eThe Galileo of number crunchers * Independent *\u003cbr\u003eA 34-year old Delphic Oracle * Daily Beast *","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732496953687,"sku":"9780141975658","price":12.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780141975658.jpg?v=1719997142"},{"product_id":"statistics-without-tears-9780141987491","title":"Statistics without Tears","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eTHE CLASSIC GUIDE, NOW FULLY REVISED AND UPDATED\u003cbr\u003e\u003cbr\u003eWhy do we need Statistics?\u003cbr\u003eWhat do terms like ''dispersion'', ''correlation'', ''normal distribution'' and ''significance'' actually mean?\u003cbr\u003eHow can I learn how to \u003ci\u003ethink\u003c\/i\u003e statistically?\u003cbr\u003e\u003cbr\u003eThis bestselling introduction is for anyone who wants to know how statistics works and the powerful ideas behind it. Teaching through words and diagrams instead of requiring you to do complex calculations, it assumes no expert knowledge and makes the subject accessible even to readers who consider themselves non-mathematical. This clear and informative ''tutorial in print'' includes questions for you to respond to in the light of what you have read so far, ensuring your developing ability to think statistically.\u003c\/p\u003e","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732508356951,"sku":"9780141987491","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780141987491.jpg?v=1719997191"},{"product_id":"probability-9780198709978","title":"Probability","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProbability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters'' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random processes including Markov chains.A special feature is the authors'' attention to rigorous mathematics: not everything is rigorous, but the need for rigour is explained at difficult junctures. The text is enriched by simple exercises, together with problems (with very brief hints) many of which are taken from final examinations at Cambridge and Oxford. The first eight chapters form a course in basic probability, being an account of events, random variables, and distributions - discrete and continuous random variables are treated separately - together with simple versions of the law of large numbers\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART A BASIC PROBABILITY; PART B FURTHER PROBABILITY","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732767650135,"sku":"9780198709978","price":38.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198709978.jpg?v=1719998311"},{"product_id":"research-methods-for-the-biosciences-9780198728498","title":"Research Methods for the Biosciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eScientific research is a proven and powerful tool for discovering the answers to biological questions. As such, today''s students need to be well-versed in experimental design, analysis, and the communication of research. Furthermore, they must appreciate how all of these aspects are interlinked--how, for example, statistics can be used to inform the design of a particular experiment. As a resource which skillfully integrates all of the key aspects relating to biological research, Research Methods for the Biosciences is the perfect guide for undergraduates.The exceptionally clear layout takes students through choosing a project and planning their research; collecting, evaluating, and analyzing their data; and finally reporting their results. Research methods, which can often seem abstract, are brought to life through the use of examples taken from real undergraduate research. Friendly guidance and advice is provided throughout the text, and little prior knowledge or mathematical experience is required. Since statistics is a subject best learned through doing, frequent worked examples appear throughout Part Two ''Handling your data'', showing step-by-step how to carry out the various statistical tests. In addition, online software walkthroughs and video screencasts clearly demonstrate how to use software such as SPSS, Minitab, Excel and R to carry out statistical analyses.Online Resource CentreThe Online Resource Centre to accompany Research Methods for the Biosciences features:For students: New video screencasts showing how to carry out statistical tests using software Statistical software walkthroughs for SPSS, Excel, and Minitab Additional statistical tests not included in the main text Full details of calculations given in the in-text boxes  Interactive and printable decision tree, to help you design your experiment Interactive and printable risk assessment form Integrative exercises to help students test their understanding of the topics in the bookFor lecturers: A test bank of questions Figures from the book available to download\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePLANNING YOUR EXPERIMENT; HANDLING YOUR DATA; REPORTING YOUR RESULTS","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732772434263,"sku":"9780198728498","price":50.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198728498.jpg?v=1719998332"},{"product_id":"measurement-9780198779568","title":"Measurement","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eMeasurement is a fundamental concept that underpins almost every aspect of the modern world. It is central to the sciences, social sciences, medicine, and economics, but it affects everyday life. We measure everything - from the distance of far-off galaxies to the temperature of the air, levels of risk, political majorities, taxes, blood pressure, IQ, and weight. The history of measurement goes back to the ancient world, and its story has been one of gradual standardization. Today there are different types of measurement, levels of accuracy, and systems of units, applied in different contexts. Measurement involves notions of variability, accuracy, reliability, and error, and challenges such as the measurement of extreme values.In this Very Short Introduction, David Hand explains the common mathematical framework underlying all measurement, the main approaches to measurement, and the challenges involved. Following a brief historical account of measurement, he discusses measurement as used in the physical sciences and engineering, the life sciences and medicine, the social and behavioural sciences, economics, business, and public policy.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eREFERENCES; FURTHER READING; INDEX","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732781773143,"sku":"9780198779568","price":9.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198779568.jpg?v=1719998374"},{"product_id":"getting-started-with-r-9780198787846","title":"Getting Started with R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eR is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oral presentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible.This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model.Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eReview from previous edition The book would make the ideal text for a short course on data management and presentation - it truly packs an amazing amount of wisdom and wit between slim covers. * Trends in Ecology and Evolution *\u003cbr\u003eI was engaged by the refreshing style of the authors, that while informal, gives the user clear step-by-step instructions for using the software. Apart from the clear biological leaning of the example data, this book is applicable to anyone learning R (even a statistician!). * Significance *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface 1: Getting and getting acquainted with R 2: Getting your data into R 3: Data management, manipulation, and exploration with dplyr 4: Visualising your data 5: Introducing statistics in R 6: Advancing your statistics in R 7: Getting started with generalised linear models 8: Pimping your plots: scales and themes in ggplot2 9: Closing remarks Appendices","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732784034135,"sku":"9780198787846","price":42.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198787846.jpg?v=1719998382"},{"product_id":"biomeasurement-a-students-guide-to-biological-statistics-9780198807483","title":"Biomeasurement A Students Guide to Biological","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA refreshing, student-focused introduction to the use of statistics in the study of the biosciences. Emphasising why statistical techniques are essential tools for bioscientists, Biomeasurement removes the stigma attached to statistics by giving students the confidence to use key techniques for themselves.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eReview from previous edition Biomeasurement does a wonderful job of keeping the biology the focus of analysis, and highlighting the fact that statistics is simply another useful tool to help biological understanding. * Dr Shane Richards, Biological and Biomedical Sciences, University of Durham, UK *\u003cbr\u003eThis book represents the best I have seen for teaching undergraduate biologists statistics. * Dr Chris Venditti, Department of Biological Sciences, University of Hull, UK *\u003cbr\u003eIt demystifies and clarifies topics that students can normally find confusing and challenging. It is a must for biologists! * Dr Maria G. Tuohy, School of Natural Sciences, National University of Ireland, Galway *\u003cbr\u003eThis book was a blessing when I got it for my first year, and I'm still finding it helpful in my second year! It is so easy to navigate; you can read it cover to cover if you are very confused, or just dip into the topics you need. I would definitely recommend it to any students doing a bioscience degree which involves statistical elements. * Bethany Richmond, student at the University of Warwick *\u003cbr\u003eAs a student with limited mathematical ability, new to statistics who believed I would not be able to pass this module, I read this book chapter by chapter prior to my weekly lectures and everything fell into place without a struggle. A 100% necessary purchase. A 100% necessary read. The book is appealing and very easy to navigate. I have tried to read other statistics books aimed at beginners but this was the only book which I clearly understood. * Julie Carter, student at Anglia Ruskin University *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Why am I reading this book?2: Getting to grips with the basics3: Describing a single sample4: Inferring and estimating5: Choosing the right test and graph6: Overview of null hypothesis significance testing7: Tests on frequencies8: Tests of difference: two unrelated samples9: Tests of difference: two related samples10: Tests of difference: more than two samples11: Tests of relationship: regression12: Tests of relationship: correlation13: Introducing the generalized linear model: general linear model14: More on the generalized linear model: logistic and loglinear modelsAppendix I How to enter data into SPSSAppendix II Statistical tables of critical valuesAppendix III Summary guidance on reporting statistical resultsAppendix IV Statistics and experimental designRelated Titles","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732791079255,"sku":"9780198807483","price":37.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198807483.jpg?v=1719998414"},{"product_id":"statistics-9780199233564","title":"Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eModern statistics is very different from the dry and dusty discipline of the popular imagination. In its place is an exciting subject which uses deep theory and powerful software tools to shed light and enable understanding. And it sheds this light on all aspects of our lives, enabling astronomers to explore the origins of the universe, archaeologists to investigate ancient civilisations, governments to understand how to benefit and improve society, and businesses to learn how best to provide goods and services. Aimed at readers with no prior mathematical knowledge, this Very Short Introduction explores and explains how statistics work, and how we can decipher them. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface ; 1. Surrounded by Statistics ; 2. Simple descriptions ; 3. Collecting good data ; 4. Probability ; 5. Estimation and inference ; 6. Statistical models and methods ; 7. Statistical computing ; Further reading ; Index","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732837249367,"sku":"9780199233564","price":9.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199233564.jpg?v=1719998610"},{"product_id":"explanation-in-causal-inference-9780199325870","title":"Explanation in Causal Inference","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eYes, mediation is an important topic. It has longed been used in the social sciences especially psychology. Of late there has been interest in many different fields including economics, sociology, epidemiology, political science and education, among other fields. Tyler VanderWeele is very qualified to author this book. He has contributed important work to the development of this topic and is a talented and careful researcher. I think there is potential for adoption in graduate courses in the social and biomedical sciences. I also think it could be widely purchased by applied researchers as a reference. I recommend publication. * Luke Keele, Associate Professor, Department of Political Science, Penn State University   *\u003cbr\u003eMediation is about understanding pathways between a treatment and an outcome that lead to the outcome, i.e., mechanisms. Mechanisms are a central thing in science and statisticians have been providing new principled methods for studying these topics over especially the last 10 years. Especially in the social and behavioral sciences and in epidemiology there has been great interest in these methods, and the methodology the author wants to write about is the new stuff from the last 10 years. [VanderWeele] is the key player in statistical literature these days. He's a good communicator… Primary market: applied researchers doing mediation in epidemiology, social and behavioral sciences. Secondary market: applied statisticians teaching causal inference and\/or working in the area.\" \" * Michael Sobel, Dept Sociology, Columbia *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART I: MEDIATION ANALYSIS ; Chapter 1. Explanation and Mechanism ; Chapter 2. Mediation: Introduction and Regression-Based Approaches ; Chapter 3. Sensitivity Analysis for Mediation ; Chapter 4. Mediation Analysis with Survival Data ; Chapter 5. Multiple Mediators ; Chapter 6. Mediation Analysis with Time-Varying Exposures and Mediators ; Chapter 7. Selected Topics in Mediation Analysis ; Chapter 8. Other Topics Related to Intermediates ; PART II: INTERACTION ANALYSIS ; Chapter 9. An Introduction to Interaction Analysis ; Chapter 10. Mechanistic Interaction ; Chapter 11. Bias Analysis for Interactions ; Chapter 12. Interaction in Genetics: Independence and Boosting Power ; Chapter 13. Power and Sample-Size Calculations for Interaction Analysis ; PART III: SYNTHESIS AND SPILLOVER EFFECTS ; Chapter 14. A Unification of Mediation and Interaction ; Chapter 15. Social Interactions and Spillover Effects ; Chapter 16. Mediation and Interaction: Future and Context ; Appendix. Technical Details and Proofs ; References","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732840919383,"sku":"9780199325870","price":115.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199325870.jpg?v=1719998624"},{"product_id":"how-our-days-became-numbered-risk-and-the-rise-of-the-statistical-individual-9780226564869","title":"How Our Days Became Numbered  Risk and the Rise","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eExplains how life insurance corporations shaped how we understand American life spans and Americans as risks","brand":"The University of Chicago Press","offers":[{"title":"Default Title","offer_id":48732911763799,"sku":"9780226564869","price":24.7,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780226564869.jpg?v=1719998920"},{"product_id":"thinking-through-statistics-9780226567631","title":"Thinking Through Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA guide to using statistics properly in social science.","brand":"The University of Chicago Press","offers":[{"title":"Default Title","offer_id":48732911894871,"sku":"9780226567631","price":29.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780226567631.jpg?v=1719998919"},{"product_id":"the-numbers-game-9780241963623","title":"The Numbers Game","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eDiscover football''s astonishing hidden rules in \u003c\/b\u003e\u003cb\u003e\u003ci\u003eThe Numbers Game\u003c\/i\u003e by Chris Anderson and David Sally\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e*Fully updated with a new World Cup chapter* \u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eFootball has always been a numbers game: 4-4-2, the big number 9 and 3 points for a win. But what if up until now we''ve been focusing on the wrong numbers? What if the numbers that really matter, the ones that hold the key to winning matches, are actually 2.66, 53.4, 50\/50, and 0 \u0026gt; 1? What if managers only make a 15% difference? What if Chelsea should have bought Darren Bent?\u003cbr\u003e\u003cbr\u003eIn this incisive, myth-busting book, Chris Anderson, former goalkeeper turned football statistics guru, and David Sally, former baseball pitcher turned behavioural economist, show that every shred of knowledge we can gather can help us to love football and understand it even more. You''ll discover why stopping a goal is more valuable than scoring one, why corners should be taken short, and why it is better to improve y\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eDoes the impossible of making the beautiful game even more beautiful -- Malcolm Gladwell\u003cbr\u003eA must-read . . . Chris Anderson and David Sally have the ability to see football in a way few have before them. Be warned: \u003ci\u003eThe Numbers Game\u003c\/i\u003e will change the way you think about your favourite team or player, and change the way you watch the beautiful game. -- Billy Beane, General Manager of the Oakland A's, the subject of \u003ci\u003eMoneyball\u003c\/i\u003e\u003cbr\u003eA fascinating and stylish investigation into a rapidly developing way of understanding football -- Jonathan Wilson, author of \u003ci\u003eInverting the Pyramid: The History of Football Tactics\u003c\/i\u003e\u003cbr\u003eWhether you are a traditionalist or a numbers nut you can enjoy this book. It's thorough, accessible, and devoid of the absolute truths so many on both sides of the debate peddle. -- Gabriele Marcotti, football broadcaster and author\u003cbr\u003eIt is the book that could change the game forever * Times *\u003cbr\u003eYou need to like football. Millions of people do. And they should rush to read this book immediately. The game they love will take on new depth, colour and subtlety -- Ed Smith * The Times *\u003c\/p\u003e","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48733392470359,"sku":"9780241963623","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241963623.jpg?v=1719999990"},{"product_id":"a-field-guide-to-lies-and-statistics-9780241974872","title":"A Field Guide to Lies and Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA guide to critical thinking in the ''post-truth'' era, from the author of \u003ci\u003eSunday Times\u003c\/i\u003e best-seller \u003ci\u003eThe Organized Mind\u003c\/i\u003e\u003c\/b\u003e \u003cbr\u003e\u003cbr\u003eWe live in a world of information overload. Facts and figures on absolutely everything are at our fingertips, but are too often biased, distorted, or outright lies. From unemployment figures to voting polls, IQ tests to divorce rates, we''re bombarded by seemingly plausible statistics on how people live and what they think. Daniel Levitin teaches us how to effectively ask ourselves: can we \u003ci\u003ereally\u003c\/i\u003e know that? And how do \u003ci\u003ethey\u003c\/i\u003e know that? \u003cbr\u003e\u003cbr\u003eIn this eye-opening, accessible guide filled with fascinating examples and practical takeaways, acclaimed neuroscientist Daniel Levitin shows us how learning to understand statistics will enable you to make better, smarter judgements on the world around you.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eIn a post-truth world, Levitin's book is an invaluable primer on how to sort the fact from the fiction * Sunday Times *\u003cbr\u003eThe world is awash with data, but not always with accurate information. [Levitin] does a terrific job of illustrating the difference between the two with precision and delightful good humour -- Charles Wheelan, author of Naked Economics\u003cbr\u003eDeservedly a bestseller -- Independent on 'The Organized Mind'\u003cbr\u003eSmart, important, exquisitely written -- Daniel Gilbert on 'The Organized Mind'\u003cbr\u003e\u003ci\u003eThe Organized Mind\u003c\/i\u003e is the perfect antidote to the effects of information overload. Loved it. -- Scott Turow, New York Times bestselling author of 'Identical' and 'Innocent' on 'The Organized Mind'\u003cbr\u003e\u003cb\u003eDaniel Levitin's field guide is a critical thinking primer for our shrill, data-drenched age.\u003c\/b\u003e From the way averages befuddle to the logical fallacies that sneak by us, \u003cb\u003eevery page is enlightening\u003c\/b\u003e -- Charles Duhigg, author of The Power of Habit and Smarter, Faster, Better\u003cbr\u003eValuable tools for anyone willing to evaluate claims and get to the truth of the matter * Kirkus Reviews *\u003cbr\u003eAs a lucid guide to critical thinking about statistics, information and assertion it is profoundly welcome * Observer *","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48733416358231,"sku":"9780241974872","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241974872.jpg?v=1720000018"},{"product_id":"numbers-dont-lie-9780241989692","title":"Numbers Dont Lie","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThe human mind soaks up the images and narratives conveyed by the press, but they are a highly nonrandom sample of reality: the lurid, the sudden, the photogenic. Smil's title says it all: to understand the world, you need to follow the trendlines, not the headlines. This is a compelling, fascinating, and most important, realistic portrait of the world and where it's going -- Steven Pinker\u003cbr\u003eThe best book to read to better understand our world. Once in a while a book comes along that helps us see our planet more clearly. By showing us numbers about science, health, green technology and more, Smil's book does just that. It should be on every bookshelf! -- Linda Yueh, author of The Great Economists\u003cbr\u003eImportant -- Mark Zuckerberg, on Energy\u003cbr\u003eOne of the world's foremost thinkers on development history and a master of statistical analysis . . . The nerd's nerd * Guardian *\u003cbr\u003eA book for anyone confused by statistics or dubious of data in a world where numbers seem to mean everything and nothing. Vaclav Smil's new book reveals why diesel isn't as bad as you think, how much food is \u003ci\u003ereally \u003c\/i\u003ebeing wasted, what actually makes people happy, and much more. * BBC Science Focus magazine *\u003cbr\u003eOutstanding perspectives on the world we live in providing context on mankind's challenges ranging from demographics through globalization, innovation and the environment -- Sarah Riopelle, Senior portfolio manager at RBC Global Asset Management * Bloomberg, 'Best Books of 2022' *","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48733434806615,"sku":"9780241989692","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241989692.jpg?v=1720000064"},{"product_id":"analyzing-ecological-data-9780387459677","title":"Analyzing Ecological Data","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eData management and software.- Advice for teachers.- Exploration.- Linear regression.- Generalised linear modelling.- Additive and generalised additive modelling.- to mixed modelling.- Univariate tree models.- Measures of association.- Ordination  First encounter.- Principal component analysis and redundancy analysis.- Correspondence analysis and canonical correspondence analysis.- to discriminant analysis.- Principal coordinate analysis and non-metric multidimensional scaling.- Time series analysis  Introduction.- Common trends and sudden changes.- Analysis and modelling of lattice data.- Spatially continuous data analysis and modelling.- Univariate methods to analyse abundance of decapod larvae.- Analysing presence and absence data for flatfish distribution in the Tagus estuary, Portugal.- Crop pollination by honeybees in Argentina using additive mixed modelling.- Investigating the effects of rice farming on aquatic birds with mixed modelling.- Classification trees and radar detectio\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e \u003cp\u003e\"I liked the compact style of the book and really enjoyed the case studies. The book would be a suitable companion to statistics courses for both ecologists and statisticians at the introductory graduate level….All in all, I enjoyed reading the book and marvel at the wide range of sophisticated statistical models used in modern ecology.\"(Biometrics, 64, March 2008)\u003c\/p\u003e \u003cp\u003e\"Readership: Undergraduates, postgraduates and scientists engaged in areas of the environmental sciences and ecological research. The material presented in this book has been developed and used by the authors in teaching statistics to its intended readership. The text is divided into two parts … . I have no doubt that for undergraduate students the main strength of the book will be the breadth of topics covered by the case studies – ranging from terrestrial ecology to marine biology.\" (C. M. O’Brien, International Statistical Review, Vol. 75 (3), 2007)\u003c\/p\u003e \u003cp\u003e\"This is a practical way of analysing ecological data in which methodological approaches are combined with real data sets with the advantages and disadvantages of each strategy discussed. Who is it for? Upper undergraduates, postgraduates and researchers in ecology. Presentation It links ecological data, data analysis and discussion of the approaches. Would you recommend it? If you want an edited volume on different methods of ecological data analysis, then this book is worth looking through.\" (Times Higher Education, May, 2008)\u003c\/p\u003e \u003cp\u003e\"The book is aimed at three types of readers: ecologists who wish to develop their own statistical skills, quantitative ecologists who want to use more advanced techniques, and statistical scientists seeking more experience analyzing ecological data. … Enjoyable aspects of the book include good graphical outputs, with interpretations, in the text. … Overall, this book is wroth the purchase price … . No other book combines as many good ecological data sets with such thoughtfully written analyses. I give this book two enthusiastic thumbs up!\" (Loveday Conquest, Journal of the American Statistical Asociation, Vol. 103 (483), September, 2008)\u003c\/p\u003e \u003cp\u003e\"The book aims to give readers sufficient information to apply statistical methodology in a correct and useful way. … the book meets its aim, covering a wide range of statistical techniques and dealing with many situations that are encountered in ecological statistics. This is an excellent, nicely presented and very readable book. I would highly recommend it to numerate researchers and students interested in environment and ecological data analysis.\" (Weiqi Luo, Journal of Applied Statistics, Vol. 36 (2), February, 2009)\u003c\/p\u003e \u003cp\u003e\"Analysing Ecological Data by a group of ecologists-gone-statisticians from Scotland is the latest book in this area and based on years of teaching and consultancy experience. … The book differs from many of its competitors in its structure: it contains a general introduction to several fields of descriptive ecological data analysis (370 pages), which is augmented with 17 chapter-length case studies … . In summary, I can recommend the book primarily as advanced material for ecologists … .\" (Carsten F. Dormann, Basic and Applied Ecology, Vol. (10), 2009)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Data management and software.- Advice for teachers.- Exploration.- Linear regression.- Generalised linear modelling.- Additive and generalised additive modelling.- Introduction to mixed modelling.- Univariate tree models.- Measures of association.- Ordination--first encounter.- Principal component analysis and redundancy analysis.- Correspondence analysis and canonical correspondence analysis.- Introduction to discriminant analysis.- Principal coordinate analysis and non-metric multidimensional scaling.- Time series analysis--Introduction.- Common trends and sudden changes.- Analysis and modelling lattice data.- Spatially continuous data analysis and modelling.- Univariate methods to analyse abundance of decapod larvae.- Analysing presence and absence data for flatfish distribution in the Tagus estuary, Portugual.- Crop pollination by honeybees in an Argentinean pampas system using additive mixed modelling.- Investigating the effects of rice farming on aquatic birds with mixed modelling.- Classification trees and radar detection of birds for North Sea wind farms.- Fish stock identification through neural network analysis of parasite fauna.- Monitoring for change: using generalised least squares, nonmetric multidimensional scaling, and the Mantel test on western Montana grasslands.- Univariate and multivariate analysis applied on a Dutch sandy beach community.- Multivariate analyses of South-American zoobenthic species--spoilt for choice.- Principal component analysis applied to harbour porpoise fatty acid data.- Multivariate analysis of morphometric turtle data--size and shape.- Redundancy analysis and additive modelling applied on savanna tree data.- Canonical correspondence analysis of lowland pasture vegetation in the humid tropics of Mexico.- Estimating common trends in Portuguese fisheries landings.- Common trends in demersal communities on the Newfoundland-Labrador Shelf.- Sea level change and salt marshes in the Wadden Sea: a time series analysis.- Time series analysis of Hawaiian waterbirds.- Spatial modelling of forest community features in the Volzhsko-Kamsky reserve.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733725851991,"sku":"9780387459677","price":208.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"mixed-effects-models-and-extensions-in-ecology-with-r-9780387874579","title":"Mixed Effects Models and Extensions in Ecology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eLimitations of Linear Regression Applied on Ecological Data.- Things are not Always Linear; Additive Modelling.- Dealing with Heterogeneity.- Mixed Effects Modelling for Nested Data.- Violation of Independence  Part I.- Violation of Independence  Part II.- Meet the Exponential Family.- GLM and GAM for Count Data.- GLM and GAM for AbsencePresence and Proportional Data.- Zero-Truncated and Zero-Inflated Models for Count Data.- Generalised Estimation Equations.- GLMM and GAMM.- Estimating Trends for Antarctic Birds in Relation to Climate Change.- Large-Scale Impacts of Land-Use Change in a Scottish Farming Catchment.- Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills.- Additive Mixed Modelling Applied on Deep-Sea Pelagic Bioluminescent Organisms.- Additive Mixed Modelling Applied on Phytoplankton Time Series Data.- Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae.- Three-Way Nested Data for Age Determination Techniques Applied to Cetaceans.- GL\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\"For many people dealing with statistics is like jumping into ice-cold water. This metaphor is depicted by the cover of this book … . full of excellent example code and for most graphs and analyses the code is printed and explained in detail. … Each example finishes with … valuable information for a person new to a technique. In summary, I highly recommend the book to anyone who is familiar with basic statistics … who wants to expand his\/her statistical knowledge to analyse ecological data.\" (Bernd Gruber, \u003ci\u003eBasic and Applied Ecology\u003c\/i\u003e, Vol. 10, 2009)\u003c\/p\u003e\u003cp\u003e\"This book is written in a very approachable conversational style. The additional focus on the heuristics of the process rather than just a rote recital of theory and equations is commendable. This type of approach helps the reader get behind the ‘why’ of what’s being done rather than blindly follow a simple list of rules.… In short, this text is good for researchers with at least a little familiarity with the basic concepts of modeling and who want some solid stop-by-stop guidance with examples on how common ecological modeling tasks are accomplished using R.\" (Aaron Christ, \u003ci\u003eJournal of Statistical Software\u003c\/i\u003e, November 2009, Vol. 32)\u003c\/p\u003e\u003cp\u003e\"The authors succeed in explaining complex extensions of regression in largely nonmathematical terms and clearly present appropriate R code for each analysis. A major strength of the text is that instead of relying on idealized datasets … the authors use data from consulting projects or dissertation research to expose issues associated with ‘real’ data. … The book is well written and accessible … . the volume should be a useful reference for advanced graduate students, postdoctoral researchers, and experienced professionals working in the biological sciences.\" (Paul E. Bourdeau, The Quarterly Review of Biology, Vol. 84, December, 2009)\u003c\/p\u003e\u003cp\u003e“This is a companion volume to Analyzing Ecology Data by the same authors. …It extends the previous work by looking at more complex general and generalized linear models involving mixed effects or heterogeneity in variances. It is aimed at statistically sophisticated readers who have a good understanding of multiple regression models… .The pedagogical style is informal… . The authors are pragmatists—they use combinations of informal graphical approaches, formal hypothesis  testing, and information-theoretical model selection methods  when analyzing data. …Advanced graduate students in ecology or ecologists with several years of experience with ‘messy’ data would find this book useful. …Statisticians would find this book interesting for the nice explorations of many of the issues with messy data. This book would be (very) suitable for a graduate course on statistical consulting—indeed, students would learn a great deal about the use of sophisticated statistical models in ecology! …I very much liked this book (and also the previous volume). I enjoyed the nontechnical presentations of the complex ideas and their emphasis that a good analysis uses ‘simple statistical methods wherever possible, but doesn’t use them simplistically.’” (Biometrics, Summer 2009, 65, 992–993)\u003c\/p\u003e\u003cp\u003e“This book is a great introduction to a wide variety of regression models. … This text examines how to fit many alternative models using the statistical package R. … The text is a valuable reference … . A large number of real datasets are used as examples. Discussion on which model to use and the large number of recent references make the book useful for self study … .” (David J. Olive, Technometrics, Vol. 52 (4), November, 2010)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eLimitations of linear regression applied on ecological data. - Things are not always linear; additive modelling. - Dealing with hetergeneity. - Mixed modelling for nested data. - Violation of independence - temporal data. - Violation of independence; spatial data. - Generalised linear modelling and generalised additive modelling. - Generalised estimation equations. - GLMM and GAMM. - Estimating trends for Antarctic birds in relation to climate change. - Large-scale impacts of land-use change in a Scottish farming catchment. - Negative binomial GAM and GAMM to analyse amphibian road killings. - Additive mixed modelling applied on deep-sea plagic bioluminescent organisms. - Additive mixed modelling applied on phyoplankton time series data. - Mixed modelling applied on American Fouldbrood affecting honey bees larvae. - Three-way nested data for age determination techniques applied to small cetaceans. - GLMM applied on the spatial distribution of koalas in a fragmented landscape. - GEE and GLMM applied on binomial Badger activity data.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733726671191,"sku":"9780387874579","price":113.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"a-beginners-guide-to-r-9780387938363","title":"A Beginners Guide to R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eGetting Data into R.- Accessing Variables and Managing Subsets of Data.- Simple Functions.- An Introduction to Basic Plotting Tools.- Loops and Functions.- Graphing Tools.- An Introduction to the Lattice Package.- Common R Mistakes.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e\u003cp\u003e“A Beginner’s Guide to R is just what its title implies, a quick-start guide for the newest R users. A unique feature of this welcome addition to Springer’s Use R! series is that it is devoted solely to getting the user up and running on R. Unlike other texts geared towards R beginners, …this text does not make the mistake of trying to simultaneously teach statistics. …there are straightforward homework exercises provided throughout…, and the data sets can be downloaded from the authors’ website… …A Beginner’s Guide to R is an essential resource for the R novice, whether an undergraduate learning statistics for the first time or a seasoned statistician biting the bullet and making the switch to R. “ (The R Journal Vol. 2\/1, June 2010)\u003c\/p\u003e\u003cp\u003e“…most suitable for an advanced beginner or a user who needs an introduction to a wide variety of graphical methods. Overall, the book does most things quite well. It shows the beginner how to install R. how to load data into R, how to perform some subsetting operations including the sorting of data and most of all how to plot data using a variety of methods. Throughout, all methods and code are will illustrated and can be easily replicated by anyone using the book. …I learned quite a number of things about R that I did not previously know. Consequently, I would recommend the book not only for the students who need to learn R, but for professionals who need to enhance their basic working knowledge of R.\" (Math Geosci 2010, 42: 133–137)\u003c\/p\u003e\u003cp\u003e“The book has many admirable features. It introduces key commands in easy stages. Each chapter has a number of illustrative examples, lucidly explained, and ends with a review of what has been covered. Chapters also contain exercises at the end that reinforce the examples provided. … useful work for self-study or for an introductory course, allowing readers to apply their knowledge of the language to begin learning how to use R for statistical analysis or other purposes. Summing Up: Highly recommended. All levels of readership.” (R. Bharath, Choice, Vol. 47 (11), July, 2010)\u003c\/p\u003e\u003cp\u003e“This book explains how to create datasets, variables, functions and plots using R. It is not a simple book though. … somewhat dense and covers each topic thoroughly. … best to follow every example. … I found this book to be well written for its intended audience and purpose. I had no difficulty reading it or following the examples. … This approach will give you a good foundation for using R in your own work and advancing to other books about specific analyses and procedures.” (Mark Bailey, Technometrics, Vol. 53 (1), February, 2011)\u003c\/p\u003e\u003cp\u003e“This book has a very clear objective. … this is a popular book about the R statistical software. … The book is true to its goal of being a text for the absolute beginner with easy to follow explanations, examples to program, and exercises to build skill. The reader who takes advantages of the available data files and R text editors will find this to be a very instructive book. It will definitely increase your desire to learn and use R in the future.” (Brandon Alleman, The American Statistician, May, 2011)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eGetting Data into R.- Accessing Variables and Managing Subsets of Data.- Simple Functions.- An Introduction to Basic Plotting Tools.- Loops and Functions.- Graphing Tools.- An Introduction to the Lattice Package.- Common R Mistakes.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733726835031,"sku":"9780387938363","price":66.49,"currency_code":"GBP","in_stock":true}]},{"product_id":"basic-business-statistics-a-casebook-textbooks-in-matheamtical-sciences-9780387983547","title":"Basic Business Statistics A Casebook Textbooks in","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003ePreface Statistics is seldom the most eagerly anticipated course of a business student. Our goal in writing this casebook and the companion volume (Business Analysis Using Regression) was to change that impression by showing how statistics yields insights and answers interesting business questions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"The manuscripts are divided into \"classes\" which tackle various statistical concepts. Material becomes increasingly complex as the data in later sections exhibit multiple deviations from ideal conditions. The casebooks use a combination of explanatory text and software output to guide the student. Almost no mathematics appears in these volumes; the authors make traditional texts available to their students who are curious about the technical details...I anticipate students will wholeheartedly endorse the FSW casebooks. The material is easy to digest as, for instance, the authors cleverly interweave probability, the standard error of the mean, and control charts. The casebooks effectively relay the message that statistics is relevant and doable. Ideally, that is the message that should be sent in all introductory business statistics courses.\" Marlene Smith, University of Colorado-Denver\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eOverview and Foundations * Statistical Summaries of Data * Sources of Variation * Standard Error * Confidence Intervals * Sampling * Making Decisions * Designing Tests for Better Comparisons * Confounding Effects in Tests: A Case Study * Covariance, Correlation, and Portfolios * A Preview of Regression","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733728080215,"sku":"9780387983547","price":48.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387983547.jpg?v=1720001410"},{"product_id":"statistical-consulting-9780387988634","title":"Statistical Consulting","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eI The Methodology of Statistical Consulting.- 1 Introduction to Statistical Consulting.- 2 Communication.- 3 Methodological Aspects.- 4 A Consulting Project from A to Z.- II Case Studies.- 5 Introduction to the Case Studies.- 6 Case Studies from Group I.- 7 Case Studies from Group II.- 8 Case Studies from Group III.- 9 Additional Case Studies.- A Resources.- A.1 References.- A.2 Datasets for Case Studies in Part II.- A.3 Statistical Consulting Course.- A.3.1 Course Description.- A.3.2 List of Topics by Week.- A.3.3 Reference List.- B Statistical Software.- B.1 SAS.- B.1.1 The SAS Setup.- B.1.2 Details on the DATA Step.- B.1.3 SAS Procedures.- B.1.4 Further Details of SAS.- B.2 S-PLUS.- B.2.1 S-PLUS Preliminaries.- B.2.2 The S-PLUS Setup.- B.2.3 Basic S-PLUS Commands.- B.2.4 Efficient Use of S-PLUS.- B.2.5 S-PLUS Statistical Procedures.- B.2.6 S-PLUS Glossary.- C Statistical Addendum.- C.1 Univariate Distributions.- C.2 Multivariate Distributions.- C.3 Statistical Tests.- C.4 Sample Siz\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e \u003cp\u003eTHE AMERICAN STATISTICIAN\u003c\/p\u003e \u003cp\u003e\"Although there are other books that effectively tackle the individual aspects described above, this book seems to be the most ideally suited to teaching a well-rounded statistics course at the undergraduate of graduate level…[It] gives informative and self-contained discussions for the many aspects of consulting in balanced proportions that would make using the book for a textbook delightfully straightforward. The collection of case studies is diverse in disciplines considered and level of difficulty, and seems to focus on interesting problems that students will find highly motivating…a valuable resource for statistical consultants, both beginning and established…a prime candidate for use as a stand-alone textbook…since it contains a desirable balance of materials with statistical methodology, oral and written communication skills, and rich case studies…It will make a solid long-term reference for students. Also, for instructors of more traditional senior undergraduate and junior graduate courses, it provides useful case studies to illustrate standard methods in realistic settings that can easily be implemented.\"\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction to Statistical Consulting * Communication * Methodological Aspects * A Consulting Project from A to Z * Introduction to Case Studies * Case Studies from Group I * Case Studies from Group II * Case Studies from Group III * Additional Case Studies","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733728244055,"sku":"9780387988634","price":89.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387988634.jpg?v=1720001411"},{"product_id":"statistics-9780393930436","title":"Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eRenowned for its clear prose and no-nonsense emphasis on core concepts, \u003cem\u003eStatistics\u003c\/em\u003e covers fundamentals using real examples to illustrate the techniques.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePART I. DESIGNS OF EXPERIMENTS \u003cbr\u003eChapter 1. Controlled Experiments \u003cbr\u003eChapter 2. Observational Studies \u003cbr\u003ePART II. DESCRIPTIVE STATISTICS \u003cbr\u003eChapter 3. The Histogram \u003cbr\u003eChapter 4. The Average Standard Deviation \u003cbr\u003eChapter 5. The Normal Approximation for Data \u003cbr\u003eChapter 6. Measurement Error \u003cbr\u003eChapter 7. Plotting Points and Lines \u003cbr\u003ePART III. CORRELATION AND REGRESSION \u003cbr\u003eChapter 8. Correlation \u003cbr\u003eChapter 9. More about Correlation \u003cbr\u003eChapter 10. Regression \u003cbr\u003eChapter 11. The R.M.S. Error for Regression \u003cbr\u003eChapter 12. The Regression Line \u003cbr\u003ePART IV. PROBABILITY \u003cbr\u003eChapter 13. What Are the Chances \u003cbr\u003eChapter 14. More about Chance \u003cbr\u003eChapter 15. The Binomial Formula \u003cbr\u003ePART V. CHANCE VARIABILITY \u003cbr\u003eChapter 16. The Law of Averages \u003cbr\u003eChapter 17. The Expected Value and Standard Error \u003cbr\u003eChapter 18. The Normal Approximation for Probablity \u003cbr\u003ePART VI. SAMPLING \u003cbr\u003eChapter 19. Sample Surveys \u003cbr\u003eChapter 20. Chance Errors in Sampling \u003cbr\u003eChapter 21. The Accuracy of Percentages \u003cbr\u003eChapter 22. Measuring Employment and Significance Unemployment \u003cbr\u003eChapter 23. The Accuracy of Averages \u003cbr\u003ePART VII. CHANCE MODELS \u003cbr\u003eChapter 24. Model for Measurement Error \u003cbr\u003eChapter 25. Chance Models in Genetics \u003cbr\u003ePART VIII. TESTS OF SIGNIFICANCE \u003cbr\u003eChapter 26. Tests of Significance \u003cbr\u003eChapter 27 More Tests for Averages \u003cbr\u003eChapter 28. The Chi-Square Test \u003cbr\u003eChapter 29. A Closer Look at Tests of Significance \u003cbr\u003e\u003c\/p\u003e","brand":"WW Norton \u0026 Co","offers":[{"title":"Default Title","offer_id":48733733781847,"sku":"9780393930436","price":48.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780393930436.jpg?v=1720001437"},{"product_id":"new-cambridge-statistical-tables-9780521484855","title":"New Cambridge Statistical Tables","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe second edition of this very successful and authoritative set of tables still benefits from clear typesetting, which makes the figures easy to read and use. It has, however, been improved by the addition of new tables that provide Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. Great care has been taken to ensure that it is clear just what is being tabulated and how the values may be used; the tables are generally capable of easy interpolation. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences. It will be an essential aid for teachers, researchers and students in those subjects where statistical analysis is not wholly carried out by computers.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This is an excellent book offered at an unusually low price of £3.50. Any forensic scientist who analyses data will be well advised to ensure that a copy is always close to hand.' Journal of the Forensic Science Society\u003cbr\u003e' … very extensive...clear well explained tables.' P. J. Avery, British Journal of Biomedical Science\u003cbr\u003e' … these are among the best available and they are well set out.' P. Sprent, Journal of Applied Ecology\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. The binomial distribution function; 2. The Poisson distribution function; 3. Binomial coefficients; 4. The normal distribution function; 5. Percentage points of the normal distribution; 6. Logarithms of factorials; 7. The chi-squared distribution function; 8. Percentage points of the chi-squared distribution; 9. The t-distribution function; 10. Percentage points of the t-distribution; 11. Percentage points of Behrens' distribution; 12. Percentage points of the F-distribution; 13. Percentage points of the correlation coefficient r when rho = 0; 14. Percentage points of Spearman's S; 15. Percentage points of Kendall's K; 16. The z-transformation of the correlation coefficient; 17. The inverse of the z-transformation; 18. Percentage points of the distribution of the number of runs; 19. Upper percentage points of the two-sample Kolmogorov–Smirnov distribution; 20 Percentage points of Wilcoxon's signed-rank distribution; 21. Percentage points of the Mann–Whitney distribution; 22A. Expected values of normal order statistics (normal scores); 22B. Sums of squares of normal scores; 23. Upper percentage points of the one-sample Kolmogorov–Smirnov distribution; 24. Upper percentage points of Friedmann's distribution; 25. Upper percentage points of the Kruskal–Wallis distribution; 26. Hypergeometric probabilities; 27. Random sampling numbers; 28. Random normal deviates; 29. Bayesian confidence limits for a binomial parameter; 30. Bayesian confidence limits for a Poisson mean; 31. Bayesian confidence limits for the square of a multiple correlation coefficient; A note on interpolation; Constants.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48733851386199,"sku":"9780521484855","price":14.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780521484855.jpg?v=1720001883"},{"product_id":"the-improbability-principle-9780552170192","title":"The Improbability Principle","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWhy is it that incredibly unlikely phenomena actually happen quite regularly and why should we, in fact, expect such things to happen? Here, in this highly original book - aimed squarely at anyone with an interest in coincidences, probability or gambling - eminent statistician David Hand answers this question by weaving together various strands of probability into a unified explanation, which he calls the improbability principle.\u003cbr\u003e\u003cbr\u003eThis is a book that will appeal not only to those who love stories about startling coincidences and extraordinarily rare events, but also to those who are interested in how a single bold idea links areas as diverse as gambling, the weather, airline disasters and creative writing as well as the origin of life and even the universe. \u003ci\u003eThe Improbability Principle\u003c\/i\u003e will change your perspective on how the world works  and tell you what the Bible code and Shakespeare have in common, how to win the lottery, why Apple''s song shuffling was made less random to seem more random. Oh and why lightning \u003ci\u003edoes\u003c\/i\u003e in fact strike twice...\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA hugely entertaining eye-opener about how misuse of statistics can skew our view of the world * Daily Mail *\u003cbr\u003eLively and lucid . . . an intensely useful (as well as a remarkably entertaining) book . . . * Salon *\u003cbr\u003eIn my experience, it is very rare to find a book that is both erudite and entertaining.  Yet \u003ci\u003eThe Improbability Principle\u003c\/i\u003e is such a book. Surely this cannot be due to chance alone! -- Hal Varian, Google’s Chief Economist\u003cbr\u003eAn elegant, astoundingly clear and enjoyable combination of subtle statistical thinking and real-world events. -- Andrew Dilnot, co-author of 'The Numbers Game'\u003cbr\u003eAs someone who happened to meet his future wife on a plane, on an airline he rarely used, I wholeheartedly endorse David Hand’s fascinating guide to improbability, a subject which affects the lives of all, yet until now has lacked a coherent exposition of its underlying principles. -- Gordon Woo, catastrophist at Risk Management Solutions","brand":"Transworld Publishers Ltd","offers":[{"title":"Default Title","offer_id":48735126683991,"sku":"9780552170192","price":10.79,"currency_code":"GBP","in_stock":true}]},{"product_id":"risk-9780753515532","title":"Risk","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWe are the safest humans who ever lived - the statistics prove it. And yet the media tells a different story with its warnings and scare stories. How is it possible that anxiety has become the stuff of daily life?\u003cbr\u003e\u003cbr\u003eIn this ground-breaking, compulsively readable book, Dan Gardner shows how our flawed strategies for perceiving risk influence our lives, often with unforeseen and sometimes-tragic consequences. He throws light on our paranoia about everything from paedophiles to terrorism and reveals how the most significant threats are actually the mundane risks to which we pay little attention.\u003cbr\u003e\u003cbr\u003eSpeaking to psychologists and scientists, as well as looking at the influence of the media and politicians, Gardner uncovers one of the central puzzles of our time: why are the safest people in history living in a culture of fear?\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eExcellent ... Gardner analyses everything from the media's predilection for irrational scare stories to the cynical use of fear by politicians pushing a particular agenda ... A cheery corrective to modern paranoia * Economist *\u003cbr\u003eTerrific ... exceptionally good - has the clarity of Malcolm Gladwell * Evening Standard *\u003cbr\u003eEnlivening ... a fascinating insight into the peculiar and devastating nature of human fear * Sunday Telegraph *\u003cbr\u003eStimulating ... where writers such as Richard Dawkins, Christopher Hitchens and Francis Wheen have been content largely to enumerate the errors of less rational men and women, Dan Gardner has collated part of what we need to diagnose the problem * Independent on Sunday *\u003cbr\u003eBeautifully observed * Observer *","brand":"Ebury Publishing","offers":[{"title":"Default Title","offer_id":48737026015575,"sku":"9780753515532","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780753515532.jpg?v=1723810911"},{"product_id":"practical-statistics-for-the-analytical-scientist-9780854041312","title":"Practical Statistics for the Analytical Scientist","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAnalytical chemists must use a range of statistical tools in their treatment of experimental data to obtain reliable results. Practical Statistics for the Analytical Scientist is a manual designed to help them negotiate the daunting specialist terminology and symbols. Prepared in conjunction with the Department of Trade and Industry''s Valid Analytical Measurement (VAM) programme, this volume covers the basic statistics needed in the laboratory. It describes the statistical procedures that are most likely to be required including summary and descriptive statistics, calibration, outlier testing, analysis of variance and basic quality control procedures. To improve understanding, many examples provide the user with material for consolidation and practice. The fully worked answers are given both to check the correct application of the procedures and to provide a template for future problems. Practical Statistics for the Analytical Scientist will be welcomed by practising analytical chemis\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction: Choosing the Correct Statistics; Descriptive Statistics; Distribution Descriptives; Probability Distributions; Confidence Limits; Accuracy and Precision; Significance Testing; Outlier Tests; The ANalysis Of VAriance; Linear Regression; Polynomial Regression; Repeatability Standard Deviation; Reproducibility Standard Deviation; Analytical Quality Control; Statistical Sampling; Appendices; Subject Index","brand":"Royal Society of Chemistry","offers":[{"title":"Default Title","offer_id":48737592705367,"sku":"9780854041312","price":28.45,"currency_code":"GBP","in_stock":true}]},{"product_id":"graph-theory-and-additive-combinatorics-9781009310949","title":"Graph Theory and Additive Combinatorics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis graduate level textbook covers classical and modern developments in graph theory and additive combinatorics, presenting arguments as a cohesive whole. Students will appreciate the chapter summaries, many figures and exercises, as well as the complementary set of lecture videos freely available through MIT OpenCourseWare.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Yufei Zhao does great mathematics and has an uncanny ability to explain the deepest results with clear understandable prose. For anyone interested in the seminal ideas (and their interrelationships) of recent decades - pseudorandomness, graphons, graph regularity, to name a few - this is the book to read and savor.' Joel Spencer, New York University\u003cbr\u003e'This impeccable book should quickly become a classic text in discrete maths. A huge selection of topics is treated elegantly, with beautiful illustrations, and in just the `right' amount of detail to arouse the interest of the reader and leave them well placed to find out more. In particular, the second half of the book is a superb introduction to additive combinatorics, which I will happily recommend to any student in this area.' Ben Green, Oxford University\u003cbr\u003e'This charming text gives an accessible introduction to the connected topics of extremal graph theory and modern additive combinatorics. The focus is very strongly on presenting intuition and restricting attention to the simplest possible instances of methods or classes of results, rather than aiming for maximal generality or the strongest statements; instead, references are given for further reading, or for the proofs of important theorems that are only stated here. Being highly suitable for advanced undergraduates or beginning graduate students, it fills a niche that is currently not occupied by other texts in these highly active areas of current mathematical research.' Terry Tao, University of California, Los Angeles\u003cbr\u003e'A valuable and readable unified treatment of a fast-moving area of combinatorics from one of the world's experts - sure to become a standard resource.' Jordan Ellenberg, University of Wisconsin-Madison\u003cbr\u003e'Yufei Zhao's book is a wonderful book about graph theory, additive combinatorics, and their surprising connections, involving a major theme of modern mathematics: the interplay between structure and randomness. In both areas, the book can take the curious reader, whether an advanced undergraduate or a professional mathematician, on a joyous journey from the very basics to state-of-the-art research. Yufei Zhao himself is a major player in modern research in both these areas and his presentation is a tour de force.' Gil Kalai, Hebrew University of Jerusalem and Reichman University\u003cbr\u003e'This is a beautiful treatment of extremal graph theory and additive combinatorics, focusing on the fruitful interplay between the two. The book covers the classical results as well as recent developments in this active area. It is a fascinating manuscript that would appeal to students and researchers with an interest in discrete mathematics, theoretical computer number theory, and related areas.' Noga Alon, Princeton University\u003cbr\u003e'This is a wonderful, well-written account of additive combinatorics from the graph theoretic perspective. Zhao skillfully ties in this approach to the usual statements and gives a thorough development of the subject. This book is indispensable for any serious researcher in this area. Beginners will find a thorough account of the subject with plenty of motivation. The more experienced reader will appreciate the authors' insights and elegant development of some difficult ideas.' Andrew Granville, University of Montréal\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Notation and Conventions; Appetizer: triangles and equations; 1. Forbidding a subgraph; 2. Graph regularity method; 3. Pseudorandom graphs; 4. Graph limits; 5. Graph homomorphism inequalities; 6. Forbidding 3-term arithmetic progressions; 7. Structure of set addition; 8. Sum-product problem; 9. Progressions in sparse pseudorandom sets; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738030125399,"sku":"9781009310949","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781009310949.jpg?v=1723811692"},{"product_id":"probabilistic-numerics-9781107163447","title":"Probabilistic Numerics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProbabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters'' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Computational methods for solving numerical problems lie at the heart of many of the technological advances in science and engineering over the last five decades, and underpin fields as diverse as artificial intelligence, climate modelling, and epidemiology. This impressive text rethinks numerical problems through the lens of probabilistic inference and decision making. This fresh perspective opens up a new chapter in this field, and suggests new and highly efficient methods. A landmark achievement!' Zoubin Ghahramani, University of Cambridge\u003cbr\u003e'This beautiful book is both timely and important with deep roots in powerful early exposition in numerical analysis. In this stunning and comprehensive new book, early developments from Kac and Larkin have been comprehensively built upon, formalised and extended by including modern day machine learning, numerical analysis and the formal Bayesian statistical methodology. Probabilistic Numerical methodology is of enormous importance for this age of data-centric science and Hennig, Osborne and Kersting are to be congratulated in providing us with this definitive volume.' Mark Girolami, University of Cambridge and The Alan Turing Institute\u003cbr\u003e'Numerical analysis is at the very heart of digital computing: every result of a computation on a digital computer is a only finite-precision representation of the true mathematical quantity where the precision is the tradeoff between computation time and accuracy. This book presents an in-depth overview of both the past and present of the newly emerging area of probabilistic numerics, where recent advances in probabilistic machine learning are used to develop principled improvements which are both faster and more accurate than classical numerical analysis algorithms. A must-read for every algorithm developer and practitioner in optimization!' Ralf Herbrich, Hasso Plattner Institute\u003cbr\u003e'Probabilistic Numerics spans from the intellectual fireworks of the dawn of a new field to its practical algorithmic consequences. It is precise but accessible and rich in wide-ranging, principled examples. This convergence of ideas from diverse fields in lucid style is the very fabric of good science.' Carl Edward Rasmussen, University of Cambridge\u003cbr\u003e'An important read for anyone who has thought about uncertainty in numerical methods; an essential read for anyone who hasn't …' John Cunningham, Columbia University\u003cbr\u003e'This is a rare example of a textbook that essentially founds a new field, re-casting numerics on stronger, more general foundations. A tour de force.' David Duvenaud, University of Toronto\u003cbr\u003e'The idea of applying probabilistic inference to the problem of numerical analysis must appear bold, possibly outrageous, even to an entrenched Bayesian statistician. Many in machine learning are now familiar with the application of Bayesian methods to problems that involve randomness, say, the estimation of quantities from noisy data. But to apply the 'calculus of uncertainty' to unknown mathematical facts, where the uncertainty arises only from our lack of knowledge, opens up a universe of new possibilities. This elegant idea is at the core of Probabilistic Numerics, and the authors succeed in demonstrating its potential to transform the way we think about computation itself. And that's not even considering what would happen if we were to apply probabilistic numerics to the numerical problems that arise from probabilistic numerics itself!' Thore Graepel, Senior Vice President, Altos Labs\u003cbr\u003e'… the machine learning background of the authors comes through clearly in the book … I thoroughly recommend it.' Chris J. Oates, SIAM Review\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction; 1. Mathematical background; 2. Integration; 3. Linear algebra; 4. Local optimisation; 5. Global optimisation; 6. Solving ordinary differential equations; 7. The frontier; Solutions to exercises; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738239676759,"sku":"9781107163447","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781107163447.jpg?v=1723811850"},{"product_id":"the-fundamentals-of-social-research-9781107569164","title":"The Fundamentals of Social Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis textbook provides an introduction to the scientific study of sociology and other social sciences. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on society. The authors present an integrated approach to research design and empirical analyses in which researchers can develop and test causal theories. They use examples from social science research that students will find engaging and inspiring and that will help them to understand key concepts. The book makes technical materials accessible to students who might otherwise be intimidated by mathematical examples. This new text, with the addition of sociologist Steven A. Tuch to the author team, follows the successful format, approach, and pedagogical features in Paul M. Kellstedt and Guy D. Whitten''s bestselling text, The Fundamentals of Political Science Research, now in its third edition. Workbooks in Stata, SPSS, and R, three of the most popular stat\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Kellstedt, Whitten, and Tuch provide an accessible, sophisticated text. With well-chosen examples, they show why a full understanding of research design, theory construction, and causal inference is essential for effective use of our modern toolkit of data analysis techniques.' Stephen L. Morgan, Johns Hopkins University\u003cbr\u003e'A comprehensive and well-written introduction to the techniques and logic of social research. The logic and application of a wide range of methodological techniques are explained eloquently and clearly, and the examples used cut across social science disciplines. This book should be widely used in methods courses across the social sciences.' George Wilson, University of Miami\u003cbr\u003e'This valuable textbook is unique for two reasons: first, it seamlessly integrates theory, research design, and data analysis, providing students with the foundation required to develop empirically grounded research projects that can make theoretical progress in social science. Second, it is accessible and engaging, drawing students in and showing them how stimulating and exciting social research can be.' Michael Hughes, Virginia Tech\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Figures; List of Tables; Preface; Acknowledgments; 1. The Scientific Study of Society; 2. The Art of Theory Building; 3. Evaluating Causal Relationships; 4. Research Design; 5. Survey Research; 6. Measuring Concepts of Interest; 7. Getting to Know Your Data; 8. Probability and Statistical Inference; 9. Bivariate Hypothesis Testing; 10. Two-Variable Regression Models; 11. Multiple Regression; 12. Putting it all Together to Produce Effective Research; Appendix A. Critical Values of Chi-square; Appendix B. Critical Values of t; Appendix C. The Λ Link Function for Binomial Logit Models; Appendix D. The Φ Link Function for Binomial Probit Models; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738254553431,"sku":"9781107569164","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781107569164.jpg?v=1723811864"},{"product_id":"cambridge-international-as-a-level-mathematics-probability-statistics-1-practice-book-9781108444903","title":"Cambridge International AS  A Level Mathematics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis series has been developed specifically for the Cambridge International AS \u0026amp; A Level Mathematics (9709) syllabus to be examined from 2020.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction; 1. Representation of data; 2. Measures of central tendency; 3. Measures of variation; 4. Probability; 5. Permutations and combinations; 6. Probability distributions; 7. The binomial and geometric distributions; 8. The normal distribution; Answers","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738294530391,"sku":"9781108444903","price":14.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108444903.jpg?v=1723811898"},{"product_id":"cambridge-international-as-a-level-mathematics-probability-statistics-2-practice-book-9781108444927","title":"Cambridge International AS  A Level Mathematics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis series has been developed specifically for the Cambridge International AS \u0026amp; A Level Mathematics (9709) syllabus to be examined from 2020.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction; 1. Hypothesis testing; 2. The Poisson distribution; 3. Linear combinations of random variables; 4. Continuous random variables; 5. Sampling; 6. Estimation; Answers","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738294595927,"sku":"9781108444927","price":14.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108444927.jpg?v=1723811898"},{"product_id":"statistics-for-the-social-sciences-9781108814508","title":"Statistics for the Social Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students'' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Dr Warne's gift for teaching statistics is apparent in his writing of this book. Indeed, I wish I had this book when I was a student. His use of the General Linear Model as a schema for understanding how statistical methods are interrelated sets the book apart from others.' Leena J. Landmark, Associate Professor of Special Education, Sam Houston State University, USA\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Statistics and Models; 2. Levels of Data; 3. Models of Central Tendency and Variability; 4. Visual Models; 5. Linear Transformations and z-Scores; 6. Probability and the Central Limit Theorem; 7. Null Hypothesis Statistical Significance Testing and z-Tests; 8. One-Sample t-Tests; 9. Paired-Samples t-Tests; 10. Unpaired Two-Sample t-Tests; 11. Analysis of Variance; 12. Correlation; 13. Regression; 14. Chi-Squared Test; 15 Applying Statistics to Research, and Advanced Statistical Methods.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738334441815,"sku":"9781108814508","price":59.84,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108814508.jpg?v=1723811939"},{"product_id":"computer-age-statistical-inference-student-edition-9781108823418","title":"Computer Age Statistical Inference Student","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. ''Data science'' and ''machine learning'' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I. Classic Statistical Inference: 1. Algorithms and inference; 2. Frequentist inference; 3. Bayesian inference; 4. Fisherian inference and maximum likelihood estimation; 5. Parametric models and exponential families; Part II. Early Computer-Age Methods: 6. Empirical Bayes; 7. James–Stein estimation and ridge regression; 8. Generalized linear models and regression trees; 9. Survival analysis and the EM algorithm; 10. The jackknife and the bootstrap; 11. Bootstrap confidence intervals; 12. Cross-validation and Cp estimates of prediction error; 13. Objective Bayes inference and Markov chain Monte Carlo; 14. Statistical inference and methodology in the postwar era; Part III. Twenty-First-Century Topics: 15. Large-scale hypothesis testing and false-discovery rates; 16. Sparse modeling and the lasso; 17. Random forests and boosting; 18. Neural networks and deep learning; 19. Support-vector machines and kernel methods; 20. Inference after model selection; 21. Empirical Bayes estimation strategies; Epilogue; References; Author Index; Subject Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738337259863,"sku":"9781108823418","price":30.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108823418.jpg?v=1723811944"},{"product_id":"making-sense-of-medical-statistics-9781108978156","title":"Making Sense of Medical Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDo you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes'' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don''t need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'An accessible book by a practising doctor, aimed at other doctors, which explains key statistical concepts in words and pictures. An excellent foundation for those seeking to understand the numbers in medical journal articles and quantitative reports.' Professor Trish Greenhalgh, University of Oxford, UK\u003cbr\u003e'Statistics forms the starting point for evidence based medicine, though most medics would argue that their own statistical awareness is still near the starting point! This book eases you into the awesome, exciting, exhilarating world of statistics, and makes you understand just how cool it really is. It will unleash your inner statistician that no-one knew existed - especially you!' Professor Dan Perry, Children's Orthopaedic Surgeon and Fellow of Wolfson College, University of Oxford, UK\u003cbr\u003e'The book provides a light-hearted introduction to the basic concepts in medical statistics. A couple of hundred pages long with short chapters, the book delivers with clear focus the key statistical concepts alongside some general knowledge to lighten what is sometimes a very arid subject. The description of concepts with graphs and figures support the visual learner. I thoroughly enjoyed the quick questions presented alongside the description of concepts to test understanding, with the answers at the end of chapter which linked to bullet point summaries, help to consolidate the concepts covered. I thought it was an excellent way for someone to start on their path to understanding this area. Finally, I particularly appreciated the last chapter with its focus on the work by our dear friend Doug Altman.' Professor Rafael Perera, Professor of Medical Statistics, University of Oxford, UK\u003cbr\u003e'This is an excellent introductory book for medical statistics. It's well written, easy to read, with some great examples of statistics in everyday clinical practice. The question and answer format is especially useful in reinforcing key concepts discussed in the chapter. There are lots of additional learning material included in the online resource for those seeking a more detailed understanding of the topic. The author is to be congratulated on making an important but difficult subject appear relatively straightforward and interesting to even the non-expert.' Professor Paul Banaszkiewicz, Consultant Orthopaedic Surgeon North East NHS Surgical Centre (NENSC), Gateshead, UK, and Visiting Professor Northumbria University, Newcastle-upon-Tyne, UK \u003cbr\u003e'The modern practice in orthopaedic and trauma surgery is a completely different practice to that which many of us grew up with and is now firmly founded on research and evidence. And this evidence itself is built around scientific method and statistical analysis. This excellent book provides a comprehensive guide to biostatistics for the orthopaedic surgeon and aspiring clinician scientist. Through clear explanations of complex concepts the author succeeds in simplifying the difficult and I am sure this will become an essential reference for all involved in orthopaedic surgery.' Professor Ben Ollivere, Professor of Orthopaedic Trauma, University of Nottingham, UK\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Acknowledgements; How to get the best out of this book; 1. Medicine and numbers: what is the connection?; 2. Measuring a variable: what is the difference between eye colour and height; 3. Summarising data: communicating easily; 4. Why average and range is not always enough: standard deviation and standard error; 5. The normal distribution: what's so 'normal' about it?; 6. Confidence interval: what is your guesstimate?; 7. Innocent until proven guilty! The null hypothesis; 8. Errors in hypothesis tests: learn your α from your β; 9. The randomized controlled trial: why does it have to be random?; 10. Choosing a statistical test: to t or not to t?; 11. Finding the odd one out: the ANOVA test; 12. Categorically different? The Chi-Squared test; 13. If the line fits: correlation and linear regression; 14. Hindsight is 20\/20: logistic regression; 15. Don't risk the odds. risk vs odds as the outcome measure; 16. I will survive! Time to event data analysis; 17. High-ceiling or low threshold? Accuracy of a diagnostic test; 18. Apples or oranges? Meta-analysis of selected studies; 19. Lies, damned lies and statistics: untangling facts from fiction!; Glossary; Appendix 1. Are you ready to test yourself? Single Best Answer questionnaire; Appendix 2. Software and practice problems; Appendix 3. Practice database; Appendix 4. References and further reading; Appendix 5. Further resources.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738343944535,"sku":"9781108978156","price":20.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108978156.jpg?v=1723811953"},{"product_id":"dicing-with-death-9781108999861","title":"Dicing with Death","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAs a result of the COVID-19 pandemic, medical statistics and public health data have become staples of newsfeeds worldwide, with infection rates, deaths, case fatality and the mysterious R figure featuring regularly. However, we don''t all have the statistical background needed to translate this information into knowledge. In this lively account, Stephen Senn explains these statistical phenomena and demonstrates how statistics is essential to making rational decisions about medical care. The second edition has been thoroughly updated to cover developments of the last two decades and includes a new chapter on medical statistical challenges of COVID-19, along with additional material on infectious disease modelling and representation of women in clinical trials. Senn entertains with anecdotes, puzzles and paradoxes, while tackling big themes including: clinical trials and the development of medicines, life tables, vaccines and their risks or lack of them, smoking and lung cancer, and even the power of prayer.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'The COVID pandemic has shown the power of statistics to save millions of lives by revealing 'what works'. Yet statistical methods have a deeply controversial history, and provoke sometimes bitter debate to this day. Professor Stephen Senn is renowned for his brilliant insights on the subject, and in Dicing with Death he offers us a series of fascinating journeys through its vast and varied landscape.' Robert Matthews, Visiting Professor Aston University and author of Chancing It: The Laws of Chance and How They Can Work for You\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Circling the square; 2. The diceman cometh; 3. Trials of life; 4. Of dice and men; 5. Sex and the single patient; 6. A hale view of pills (and other matters); 7. Time's tables; 8. A dip in the pool; 9. The things that bug us; 10. The law is a ass; 11. The empire of the sum; 12. Going viral; Notes; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738350891351,"sku":"9781108999861","price":19.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"machine-learning-for-time-series-forecasting-with-python-9781119682363","title":"Machine Learning for Time Series Forecasting with","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eLearn how to apply the principles of machine learning totime series modeling with thisindispensableresource Machine Learning for Time Series Forecasting with Pythonis an incisive and straightforward examination of one of the most crucial elements of decision-makingin finance,marketing,education, and healthcare:time series modeling. Despitethe centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguishedmachine learning scientistandeconomist,corrects that deficiency by providing readers withcomprehensiveand approachableexplanation andtreatment of the applicationof machine learning to time series forecasting. Written for readers who have little to no experience in time seriesforecastingor machine learning, the book comprehensively coversall the topics necessary to: Understand time series forecasting concepts, such asstationarity,horizon,trend,and seasonalityPrepare time series dataformodelingEvaluatetime series forecasting models'performance and accuracyUnderstand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Pythonis fullreal-world examples, resourcesand concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts,developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.  \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAcknowledgments vii\u003c\/p\u003e \u003cp\u003eIntroduction xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Overview of Time Series Forecasting 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFlavors of Machine Learning for Time Series Forecasting 3\u003c\/p\u003e \u003cp\u003eSupervised Learning for Time Series Forecasting 14\u003c\/p\u003e \u003cp\u003ePython for Time Series Forecasting 21\u003c\/p\u003e \u003cp\u003eExperimental Setup for Time Series Forecasting 24\u003c\/p\u003e \u003cp\u003eConclusion 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 How to Design an End-to-End Time Series Forecasting Solution on the Cloud 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTime Series Forecasting Template 31\u003c\/p\u003e \u003cp\u003eBusiness Understanding and Performance Metrics 33\u003c\/p\u003e \u003cp\u003eData Ingestion 36\u003c\/p\u003e \u003cp\u003eData Exploration and Understanding 39\u003c\/p\u003e \u003cp\u003eData Pre-processing and Feature Engineering 40\u003c\/p\u003e \u003cp\u003eModeling Building and Selection 42\u003c\/p\u003e \u003cp\u003eAn Overview of Demand Forecasting Modeling Techniques 44\u003c\/p\u003e \u003cp\u003eModel Evaluation 46\u003c\/p\u003e \u003cp\u003eModel Deployment 48\u003c\/p\u003e \u003cp\u003eForecasting Solution Acceptance 53\u003c\/p\u003e \u003cp\u003eUse Case: Demand Forecasting 54\u003c\/p\u003e \u003cp\u003eConclusion 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Time Series Data Preparation 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePython for Time Series Data 62\u003c\/p\u003e \u003cp\u003eCommon Data Preparation Operations for Time Series 65\u003c\/p\u003e \u003cp\u003eTime stamps vs. Periods 66\u003c\/p\u003e \u003cp\u003eConverting to Timestamps 69\u003c\/p\u003e \u003cp\u003eProviding a Format Argument 70\u003c\/p\u003e \u003cp\u003eIndexing 71\u003c\/p\u003e \u003cp\u003eTime\/Date Components 76\u003c\/p\u003e \u003cp\u003eFrequency Conversion 78\u003c\/p\u003e \u003cp\u003eTime Series Exploration and Understanding 79\u003c\/p\u003e \u003cp\u003eHow to Get Started with Time Series Data Analysis 79\u003c\/p\u003e \u003cp\u003eData Cleaning of Missing Values in the Time Series 84\u003c\/p\u003e \u003cp\u003eTime Series Data Normalization and Standardization 86\u003c\/p\u003e \u003cp\u003eTime Series Feature Engineering 89\u003c\/p\u003e \u003cp\u003eDate Time Features 90\u003c\/p\u003e \u003cp\u003eLag Features and Window Features 92\u003c\/p\u003e \u003cp\u003eRolling Window Statistics 95\u003c\/p\u003e \u003cp\u003eExpanding Window Statistics 97\u003c\/p\u003e \u003cp\u003eConclusion 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Introduction to Autoregressive and Automated Methods for Time Series Forecasting 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAutoregression 102\u003c\/p\u003e \u003cp\u003eMoving Average 119\u003c\/p\u003e \u003cp\u003eAutoregressive Moving Average 120\u003c\/p\u003e \u003cp\u003eAutoregressive Integrated Moving Average 122\u003c\/p\u003e \u003cp\u003eAutomated Machine Learning 129\u003c\/p\u003e \u003cp\u003eConclusion 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Introduction to Neural Networks for Time Series Forecasting 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReasons to Add Deep Learning to Your Time Series Toolkit 138\u003c\/p\u003e \u003cp\u003eDeep Learning Neural Networks Are Capable of Automatically Learning and Extracting Features from Raw and Imperfect Data 140\u003c\/p\u003e \u003cp\u003eDeep Learning Supports Multiple Inputs and Outputs 142\u003c\/p\u003e \u003cp\u003eRecurrent Neural Networks Are Good at Extracting Patterns from Input Data 143\u003c\/p\u003e \u003cp\u003eRecurrent Neural Networks for Time Series Forecasting 144\u003c\/p\u003e \u003cp\u003eRecurrent Neural Networks 145\u003c\/p\u003e \u003cp\u003eLong Short-Term Memory 147\u003c\/p\u003e \u003cp\u003eGated Recurrent Unit 148\u003c\/p\u003e \u003cp\u003eHow to Prepare Time Series Data for LSTMs and GRUs 150\u003c\/p\u003e \u003cp\u003eHow to Develop GRUs and LSTMs for Time Series Forecasting 154\u003c\/p\u003e \u003cp\u003eKeras 155\u003c\/p\u003e \u003cp\u003eTensorFlow 156\u003c\/p\u003e \u003cp\u003eUnivariate Models 156\u003c\/p\u003e \u003cp\u003eMultivariate Models 160\u003c\/p\u003e \u003cp\u003eConclusion 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Model Deployment for Time Series Forecasting 167\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExperimental Set Up and Introduction to Azure Machine Learning SDK for Python 168\u003c\/p\u003e \u003cp\u003eWorkspace 169\u003c\/p\u003e \u003cp\u003eExperiment 169\u003c\/p\u003e \u003cp\u003eRun 169\u003c\/p\u003e \u003cp\u003eModel 170\u003c\/p\u003e \u003cp\u003eCompute Target, RunConfiguration, and ScriptRun Config 171\u003c\/p\u003e \u003cp\u003eImage and Webservice 172\u003c\/p\u003e \u003cp\u003eMachine Learning Model Deployment 173\u003c\/p\u003e \u003cp\u003eHow to Select the Right Tools to Succeed with Model Deployment 175\u003c\/p\u003e \u003cp\u003eSolution Architecture for Time Series Forecasting with Deployment Examples 177\u003c\/p\u003e \u003cp\u003eTrain and Deploy an ARIMA Model 179\u003c\/p\u003e \u003cp\u003eConfigure the Workspace 182\u003c\/p\u003e \u003cp\u003eCreate an Experiment 183\u003c\/p\u003e \u003cp\u003eCreate or Attach a Compute Cluster 184\u003c\/p\u003e \u003cp\u003eUpload the Data to Azure 184\u003c\/p\u003e \u003cp\u003eCreate an Estimator 188\u003c\/p\u003e \u003cp\u003eSubmit the Job to the Remote Cluster 188\u003c\/p\u003e \u003cp\u003eRegister the Model 189\u003c\/p\u003e \u003cp\u003eDeployment 189\u003c\/p\u003e \u003cp\u003eDefine Your Entry Script and Dependencies 190\u003c\/p\u003e \u003cp\u003eAutomatic Schema Generation 191\u003c\/p\u003e \u003cp\u003eConclusion 196\u003c\/p\u003e \u003cp\u003eReferences 197\u003c\/p\u003e \u003cp\u003eIndex 199\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48738363801943,"sku":"9781119682363","price":35.62,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119682363.jpg?v=1723811979"},{"product_id":"stable-levy-processes-via-lampertitype-representations-9781108480291","title":"Stable Levy Processes via LampertiType","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStable Lévy processes lie at the intersection of Lévy processes and self-similar Markov processes. Processes in the latter class enjoy a Lamperti-type representation as the space-time path transformation of so-called Markov additive processes (MAPs). This completely new mathematical treatment takes advantage of the fact that the underlying MAP for stable processes can be explicitly described in one dimension and semi-explicitly described in higher dimensions, and uses this approach to catalogue a large number of explicit results describing the path fluctuations of stable Lévy processes in one and higher dimensions. Written for graduate students and researchers in the field, this book systemically establishes many classical results as well as presenting many recent results appearing in the last decade, including previously unpublished material. Topics explored include first hitting laws for a variety of sets, path conditionings, law-preserving path transformations, the distribution of e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This treatise takes readers on a superb journey through the fascinating worlds of stable Lévy processes and of a rich variety of further naturally related random processes. Andreas Kyprianou and Juan Carlos Pardo masterfully deploy an arsenal of techniques, which are already interesting on their own right, to reveal many classical or more recent high level results on the distributions of functionals and on the path behaviours stable processes. It is indeed remarkable that their methods lead to so many explicit formulas, some amazingly simple, some more complex. The authors should be praised for making accessible as a coherent whole a vast literature that has been developed over several decades, including the latest developments.' Jean Bertoin, University of Zurich\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Stable distributions; 2. Lévy processes; 3. Stable processes; 4. Hypergeometric Lévy processes; 5. Positive self-similar Markov processes; 6. Spatial fluctuations in one dimension; 7. Doney–Kuznetsov factorisation and the maximum; 8. Asymptotic behaviour for stable processes; 9. Envelopes of positive self-similar Markov processes; 10. Asymptotic behaviour for path transformations; 11. Markov additive and self-similar Markov processes; 12. Stable processes as self-similar Markov processes; 13. Radial reflection and the deep factorisation; 14. Spatial fluctuations and the unit sphere; 15. Applications of radial excursion theory; 16. Windings and up-crossings of stable processes; Appendix.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738535637335,"sku":"9781108480291","price":52.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108480291.jpg?v=1720049291"},{"product_id":"control-systems-and-reinforcement-learning-9781316511961","title":"Control Systems and Reinforcement Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of ''deep'' or ''Q'', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Control Systems and Reinforcement Learning is a densely packed book with a vivid, conversational style. It speaks both to computer scientists interested in learning about the tools and techniques of control engineers and to control engineers who want to learn about the unique challenges posed by reinforcement learning and how to address these challenges. The author, a world-class researcher in control and probability theory, is not afraid of strong and perhaps controversial opinions, making the book entertaining and attractive for open-minded readers. Everyone interested in the \"why\" and \"how\" of RL will use this gem of a book for many years to come.' Csaba Szepesvári, Canada CIFAR AI Chair, University of Alberta, and Head of the Foundations Team at DeepMind\u003cbr\u003e'This book is a wild ride, from the elements of control through to bleeding-edge topics in reinforcement learning. Aimed at graduate students and very good undergraduates who are willing to invest some effort, the book is a lively read and an important contribution.' Shane G. Henderson, Charles W. Lake, Jr. Chair in Productivity, Cornell University\u003cbr\u003e'Reinforcement learning, now the de facto workhorse powering most AI-based algorithms, has deep connections with optimal control and dynamic programing. Meyn explores these connections in a marvelous manner and uses them to develop fast, reliable iterative algorithms for solving RL problems. This excellent, timely book from a leading expert on stochastic optimal control and approximation theory is a must-read for all practitioners in this active research area.' Panagiotis Tsiotras, David and Andrew Lewis Chair and Professor, Guggenheim School of Aerospace Engineering, Georgia Institute of Technology\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction; Part I. Fundamentals Without Noise: 2. Control crash course; 3. Optimal control; 4. ODE methods for algorithm design; 5. Value function approximations; Part II. Reinforcement Learning and Stochastic Control: 6. Markov chains; 7. Stochastic control; 8. Stochastic approximation; 9. Temporal difference methods; 10. Setting the stage, return of the actors; A. Mathematical background; B. Markov decision processes; C. Partial observations and belief states; References; Glossary of Symbols and Acronyms; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738559852887,"sku":"9781316511961","price":47.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781316511961.jpg?v=1720049468"},{"product_id":"handbook-for-applied-modeling-nongaussian-and-correlated-data-9781316601051","title":"Handbook for Applied Modeling NonGaussian and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDesigned for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This book is a guide to modeling and analyzing non-Gaussian and correlated data. There is clearly a need for such a book to help less experienced data scientists … The data sets and models are well explained, and the limitations of each type of model on the various data sets is illustrated by frequent plots.' Peter Rabinovitch, MAA Reviews\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. The data sets; 2. The model-building process; 3. Constance variance response models; 4. Non-constant variance response models; 5. Discrete, categorical response models; 6. Counts response models; 7. Time-to-event response models; 8. Longitudinal response models; 9. Structural equation modeling; 10. Matching data to models.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738563522903,"sku":"9781316601051","price":35.14,"currency_code":"GBP","in_stock":false}]},{"product_id":"the-practice-of-statistics-9781319113339","title":"The Practice of Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Macmillan Learning","offers":[{"title":"Default Title","offer_id":48738569978199,"sku":"9781319113339","price":74.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781319113339.jpg?v=1720049504"},{"product_id":"updated-version-of-the-practice-of-statistics-for-the-apa-course-student-edition-9781319269296","title":"Updated Version of The Practice of Statistics for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Macmillan Learning","offers":[{"title":"Default Title","offer_id":48738570371415,"sku":"9781319269296","price":74.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781319269296.jpg?v=1720049505"},{"product_id":"a-concise-course-in-advanced-level-statistics-with-worked-examples-9781408522295","title":"A Concise Course in Advanced Level Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis best-selling book remains the most popular stand-alone text for Advanced Level Statistics. It covers the AS and A2 specifications in Statistics for Advanced Level Maths across all boards. Over 300 worked examples. Advice on how to break down calculations into easy stages. Extensive exercises including real exam questions for practice and exam preparation. End of chapter summaries for consolidation and revision.","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48739035087191,"sku":"9781408522295","price":55.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781408522295.jpg?v=1720050962"},{"product_id":"100-questions-and-answers-about-research-methods-9781412992039","title":"100 Questions and Answers About Research Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eHow do I create a good research hypothesis?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eHow do I know when my literature review is finished?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eWhat is the difference between a sample and a population?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eWhat is power and why is it important?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This is a concise text that has good coverage of the basic concepts and elementary principles of research methods. It picks up where many traditional research methods texts stop and provides additional discussion on some of the hardest to understand concepts.\" -- University of Central Florida\u003cbr\u003e\"I think it’s a great idea for a text (or series), and I have no doubt that the majority of students would find it helpful. The material is presented clearly, and it is easy to read and understand. My favorite example from those provided is on p. 7 where the author provides an actual checklist for evaluating the merit of a study. This is a great tool for students and would provide an excellent “practice” approach to learning this skill. Over time students wouldn’t need a checklist, but I think it would be invaluable for those students with little to no research experience.\" -- University of Denver\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart 1. Understanding the Research Process and Getting Started Part 2. Reviewing and Writing About Your Research Question Part 3. Introductory Ideas About Ethics Part 4. Research Methods: Knowing the Language, Knowing the Ideas Part 5. Sampling Ideas and Issues Part 6. Describing Data Using Descriptive Techniques Part 7. All About Testing and Measuring Part 8. Understanding Different Research Methods Part 9. All About Inference and Significance","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739120087383,"sku":"9781412992039","price":27.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781412992039.jpg?v=1720051220"},{"product_id":"monte-carlo-methods-in-financial-engineering-9781441918222","title":"Monte Carlo Methods in Financial Engineering","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews: Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of                            all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not. --Glyn Holton, Contingency Analysis\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"\u003cstrong\u003ePaul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers … You will want to have prior knowledge of both the Monte Carlo method and financial engineering. If you do, you will find the book to be a goldmine … So often, financial engineering texts are very theoretical. This book is not. The Monte Carlo method serves as a unifying theme that motivates practical discussions of how to implement real models on real trading floors. You will learn plenty of financial engineering amidst these pages. The writing is a pleasure to read. Topics are timely and relevant. Glasserman's is a must-have book for financial engineers.\" -Glyn Holton, Contingency AnalysisMathematical Reviews, 2004: \"... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context.\"\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eFrom the reviews:\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\"This recent book is a valuable addition to the references devoted to Monte Carlo methods. … the author succeeded in choosing the most actual topics in financial engineering and in presenting them in an appropriate way by keeping a suitable balance between mathematical rigour and an audience friendly language. … To help the reader, three appendices provide basic results on convergence concepts … . A large bibliography of 358 entries accompanies this text. In short, the reader will find this book extremely lucid and useful.\" (Radu Theodorescu, Zentralblatt MATH, Vol. 1038 (13), 2004)\u003c\/p\u003e \u003cp\u003e\"To keep it short, let me summarize the recension in one phrase: Paul Glausserman’s book is a ‘strong buy’ for everybody in the financial community. … one gets 596 pages full of valuable information on all aspects of Monte Carlo simulation. … Altogether, I can encourage everyone interested in Monte Carlo methods in finance to read the book. It is very well written … comes with a carefully selected bibliography (358 references) and a helpful index, thus making it really worth the buy.\" (Ralf Werner, OR – Spectrum Operations Research Spectrum, Issue 27, 2005)\u003c\/p\u003e \u003cp\u003e\"Glasserman’s new book is a remarkable presentation of the current state of the art of Monte Carlo Methods in Financial Engineering. … lot of material which is sometimes hard to access has been composed into one volume. … a high quality monograph which is both suitable as a reference for practitioners and researchers as well as a textbook … . The list of references is by itself a valuable aspect. The refreshing writing style of the author is tailor-made for the thirsty reader … .\" (Uwe Wystup, www.mathfinance.de, November, 2003)\u003c\/p\u003e \u003cp\u003e\"Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers. It is an advanced book. … The presentation is masterful. … You will learn plenty of financial engineering amidst the pages. The writing is a pleasure to read. Topics are timely and relevant. Glasserman’s is a must-have book for financial engineers.\" (www.riskbook.com, Dezember, 2003)\u003c\/p\u003e \u003cp\u003e\"This book is divided into three parts. … the aim of the author is … to give a precise description of the different techniques in order to facilitate their implementation. In my opinion, this book is a very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context.\" (Benjamin Jourdain, Mathematical Reviews, 2004g)\u003c\/p\u003e \u003cp\u003e\"The publication of this book is an important event in computational finance. For many years, Monte Carlo methods have been successfully applied to solve diverse problems in financial mathematics. By publishing this book the author deserves much credit for a very good attempt to lift such applications to a new level. … the book may well become a major reference in the field of applications of Monte Carlo methods in financial engineering. This is because the book is well structured and well written … .\" (A Zhigljavsky, Journal of the Operational Research Society, Vol. 57, 2006)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFoundations.- Generating Random Numbers and Random Variables.- Generating Sample Paths.- Variance Reduction Techniques.- Quasi-Monte Carlo Methods.- Discretization Methods.- Estimating Sensitivities.- Pricing American Options.- Applications in Risk Management.- Appendices","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48739209445719,"sku":"9781441918222","price":44.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781441918222.jpg?v=1720051497"},{"product_id":"all-of-statistics-9781441923226","title":"All of Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eTaken literally, the title All of Statistics is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics.                            This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book                            includes modern topics like nonparametric curve estimation, bootstrapping, and clas sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No                            previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con ducted in statistics                            departme\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWinner of the 2005 DeGroot Prize.\u003c\/p\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e\u003cp\u003e\"Presuming no previous background in statistics and described by the author as \"demanding\" yet \"understandable because the material is as intuitive as possible\" (p. viii), this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters.\" \u003ci\u003eTechnometrics, August 2004\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"This book should be seriously considered as a text for a theoretical statsitics course for non-majors, and perhaps even for majors...The coverage of emerging and important topics is timely and welcomed...you should have this book on your desk as a reference to nothing less than 'All of Statistics.'\" \u003ci\u003eBiometrics, December 2004\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"Although \u003ci\u003eAll of Statistics\u003c\/i\u003e is an ambitious title, this book is a concise guide, as the subtitle suggests....I recommend it to anyone who has an interest in learning something new about statistical inference. There is something here for everyone.\" \u003ci\u003eThe American Statistician, May 2005\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"As the title of the book suggests, ‘All of Statistics’ covers a wide range of statistical topics. … The number of topics covered in this book is vast … . The greatest strength of this book is as a first point of reference for a wide range of statistical methods. … I would recommend this book as a useful and interesting introduction to a large number of statistical topics for non-statisticians and also as a useful reference book for practicing statisticians.\" (Matthew J. Langdon, Journal of Applied Statistics, Vol. 32 (1), January, 2005)\u003c\/p\u003e\u003cp\u003e\"This book was written specifically to give students a quick but sound understanding of modern statistics, and its coverage is very wide. … The book is extremely well done … .\" (N. R. Draper, Short Book Reviews, Vol. 24 (2), 2004)\u003c\/p\u003e\u003cp\u003e\"This is most definitely a book about mathematical statistics. It is full of theorems and proofs … . Presuming no previous background in statistics … this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters.\" (Eric R. Ziegel, Technometrics, Vol. 46 (3), August, 2004)\u003c\/p\u003e\u003cp\u003e\"The author points out that this book is for those who wish to learn probability and statistics quickly … . this book will serve as a guideline for instructors as to what should constitute a basic education in modern statistics. It introduces many modern topics … . Adequate references are provided at the end of each chapter which the instructor will be able to use profitably … .\" (Arup Bose, Sankhya, Vol. 66 (3), 2004)\u003c\/p\u003e\u003cp\u003e\"The amount of material that is covered in this book is impressive. … the explanations are generally clear and the wide range of techniques that are discussed makes it possible to include a diverse set of examples … . The worked examples are complemented with numerous theoretical and practical exercises … . is a very useful overview of many areas of modern statistics and as such will be very useful to readers who require such a survey. Library copies would also see plenty of use.\" (Stuart Barber, Journal of the Royal Statistical Society, Series A – Statistics in Society, Vol. 168 (1), 2005)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eProbability.- Random Variables.- Expectation.- Inequalities.- Convergence of Random Variables.- Models, Statistical Inference and Learning.- Estimating the CDF and Statistical Functionals.- The Bootstrap.- Parametric Inference.- Hypothesis Testing and p-values.- Bayesian Inference.- Statistical Decision Theory.- Linear and Logistic Regression.- Multivariate Models.- Inference about Independence.- Causal Inference.- Directed Graphs and Conditional Independence.- Undirected Graphs.- Loglinear Models.- Nonparametric Curve Estimation.- Smoothing Using Orthogonal Functions.- Classification.- Probability Redux: Stochastic Processes.- Simulation Methods.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48739209740631,"sku":"9781441923226","price":49.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781441923226.jpg?v=1720051498"},{"product_id":"beginning-r-4-9781484260524","title":"Beginning R 4","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eLearn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). \u003c\/p\u003e\u003cp\u003eEach chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eBeginning R 4\u003c\/i\u003e shows the use of R in specific cases such as ANO\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Installing R2: Installing Packages and Using Libraries3: Data Input and Output4: Working with Data5: Data and Samples6: Descriptive Statistics7: Understanding Probability and Distribution8: Correlation and Regression9: Confidence Intervals10: Hypothesis Testing11: Multiple Regression12: Moderated Regression13: Analysts of VarianceBibliography\u003c\/p\u003e","brand":"APress","offers":[{"title":"Default Title","offer_id":48739665903959,"sku":"9781484260524","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"pattern-recognition-and-machine-learning-9781493938438","title":"Pattern Recognition and Machine Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eProbability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e \u003cp\u003e\"This beautifully produced book is intended for advanced undergraduates, PhD students, and researchers and practitioners, primarily in the machine learning or allied areas...A strong feature is the use of geometric illustration and intuition...This is an impressive and interesting book that might form the basis of several advanced statistics courses. It would be a good choice for a reading group.\" \u003cem\u003eJohn Maindonald for the Journal of Statistical Software\u003c\/em\u003e\u003c\/p\u003e \u003cp\u003e\"In this book, aimed at senior undergraduates or beginning graduate students, Bishop provides an authoritative presentation of many of the statistical techniques that have come to be considered part of ‘pattern recognition’ or ‘machine learning’. … This book will serve as an excellent reference. … With its coherent viewpoint, accurate and extensive coverage, and generally good explanations, Bishop’s book is a useful introduction … and a valuable reference for the principle techniques used in these fields.\" (Radford M. Neal, Technometrics, Vol. 49 (3), August, 2007)\u003c\/p\u003e \u003cp\u003e\"This book appears in the Information Science and Statistics Series commissioned by the publishers. … The book appears to have been designed for course teaching, but obviously contains material that readers interested in self-study can use. It is certainly structured for easy use. … For course teachers there is ample backing which includes some 400 exercises. … it does contain important material which can be easily followed without the reader being confined to a pre-determined course of study.\" (W. R. Howard, Kybernetes, Vol. 36 (2), 2007)\u003c\/p\u003e \u003cp\u003e\"Bishop (Microsoft Research, UK) has prepared a marvelous book that provides a comprehensive, 700-page introduction to the fields of pattern recognition and machine learning. Aimed at advanced undergraduates and first-year graduate students, as well as researchers and practitioners, the book assumes knowledge of multivariate calculus and linear algebra … . Summing Up: Highly recommended. Upper-division undergraduates through professionals.\" (C. Tappert, CHOICE, Vol. 44 (9), May, 2007)\u003c\/p\u003e \u003cp\u003e\"The book is structured into 14 main parts and 5 appendices. … The book is aimed at PhD students, researchers and practitioners. It is well-suited for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bio-informatics. Extensive support is provided for course instructors, including more than 400 exercises, lecture slides and a great deal of additional material available at the book’s web site … .\" (Ingmar Randvee, Zentralblatt MATH, Vol. 1107 (9), 2007)\u003c\/p\u003e \u003cp\u003e\"This new textbook by C. M. Bishop is a brilliant extension of his former book ‘Neural Networks for Pattern Recognition’. It is written for graduate students or scientists doing interdisciplinary work in related fields. … In summary, this textbook is an excellent introduction to classical pattern recognition and machine learning (in the sense of parameter estimation). A large number of very instructive illustrations adds to this value.\" (H. G. Feichtinger, Monatshefte für Mathematik, Vol. 151 (3), 2007)\u003c\/p\u003e \u003cp\u003e\"Author aims this text at advanced undergraduates, beginning graduate students, and researchers new to machine learning and pattern recognition. … Pattern Recognition and Machine Learning provides excellent intuitive descriptions and appropriate-level technical details on modern pattern recognition and machine learning. It can be used to teach a course or for self-study, as well as for a reference. … I strongly recommend it for the intended audience and note that Neal (2007) also has given this text a strong review to complement its strong sales record.\" (Thomas Burr, Journal of the American Statistical Association, Vol. 103 (482), June, 2008)\u003c\/p\u003e \u003cp\u003e\"This accessible monograph seeks to provide a comprehensive introduction to the fields of pattern recognition and machine learning. It presents a unified treatment of well-known statistical pattern recognition techniques. … The book can be used by advanced undergraduates and graduate students … . The illustrative examples and exercises proposed at the end of each chapter are welcome … . The book, which provides several new views, developments and results, is appropriate for both researchers and students who work in machine learning … .\" (L. State, ACM Computing Reviews, October, 2008)\u003c\/p\u003e \u003cp\u003e\"Chris Bishop’s … technical exposition that is at once lucid and mathematically rigorous. … In more than 700 pages of clear, copiously illustrated text, he develops a common statistical framework that encompasses … machine learning. … it is a textbook, with a wide range of exercises, instructions to tutors on where to go for full solutions, and the color illustrations that have become obligatory in undergraduate texts. … its clarity and comprehensiveness will make it a favorite desktop companion for practicing data analysts.\" (H. Van Dyke Parunak, ACM Computing Reviews, Vol. 49 (3), March, 2008)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eProbability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48739724493143,"sku":"9781493938438","price":58.49,"currency_code":"GBP","in_stock":true}]},{"product_id":"how-to-expect-the-unexpected-the-science-of-making-predictions-and-the-art-of-knowing-when-not-to-9781529408676","title":"How to Expect the Unexpected: The Science of","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA Waterstones Best Popular Science Book of 2023\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e'Delightfully clear and vivid to read...A splendid book! \u003cb\u003ePhilip Pullman\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e'Absolutely fascinating' \u003cb\u003eJames O'Brien\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e'An exceptional book - readable, funny and more needed than ever' \u003cb\u003eDr Chris van Tulleken, bestselling author of \u003ci\u003eUltra-Processed People\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eAre you more likely to become a professional footballer if your surname is Ball?\u003cbr\u003e· How can you be one hundred per cent sure you will win a bet?\u003cbr\u003e· Why did so many Pompeiians stay put while Mount Vesuvius was erupting?\u003cbr\u003e· How do you prevent a nuclear war?\u003cbr\u003e\u003cbr\u003eEver since the dawn of human civilisation, we have been trying to make predictions about what's in store for us. We do this on a personal level, so that we can get on with our lives efficiently (should I hang my laundry out to dry, or will it rain?). But we also have to predict on a much larger scale, often for the good of our broader society (how can we spot economic downturns or prevent terrorist attacks?).\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e For just as long, we have been getting it wrong. From religious oracles to weather forecasters, and from politicians to economists, we are subjected to poor predictions all the time. Our job is to separate the good from the bad. Unfortunately, the foibles of our own biology - the biases that ultimately make us human - can let us down when it comes to making rational inferences about the world around us. And that can have disastrous consequences.\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eHow to Expect the Unexpected\u003c\/i\u003e\u003c\/b\u003e will teach you how and why predictions go wrong, help you to spot phony forecasts and give you a better chance of getting your own predictions correct.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA vivid, wide-ranging and delightful guide to the light and the dark side of prediction * Tim Harford, bestselling author of How to Make the World Add Up *\u003cbr\u003eKit Yates presents maths as it should be taught to everyone: accessible, fun, stimulating, and deeply relevant to our lives. Spend some time with this book and you're likely to make better judgements and decisions, to see through the charlatans and snake-oil salespeople - and perhaps even to fool yourself a little less. * Philip Ball, author of the award-winning Critical Mass *\u003cbr\u003eFascinating and fun. From the everyday to global challenges, Kit Yates explores how changing your mind - so often thought to be a weakness - is the best life skill we can all acquire. A brilliant book * Professor Alice Roberts *\u003cbr\u003eYates' writing is a beacon of clarity sorely needed in a complicated and confusing world. How do we overcome our biases, understand coincidences or tackle the unreliability of our intuition? With bountiful familiar examples, he effortlessly overturns so many of our deep-rooted wrong-headed notions gently and persuasively. I'll be quoting from this book * Jim Al-Khalili *\u003cbr\u003eI'm a Yates fan. His style is all-clarity-no-bullshit * Aperiodical *\u003cbr\u003eSeriously good * Caroline Lucas MP *\u003cbr\u003eAbsolutely fascinating * James O'Brien *\u003cbr\u003eAn exceptional book - readable, funny and more needed than ever * Dr Chris van Tulleken, bestselling author of Ultra-Processed People *\u003cbr\u003eYates' writing style imbues the subjects covered with an infectious enthusiasm, artfully dispelling the dry, stuffy perceptions many people have of maths * Physics World *\u003cbr\u003eHOW TO EXPECT THE UNEXPECTED is fascinating and (very much to the point) delightfully clear and vivid to read. Like many people, I like reading about maths without actually knowing how to do it, and part of the pleasure of reading this came from its many examples from everyday life. A splendid book! * Philip Pullman *","brand":"Quercus Publishing","offers":[{"title":"Default Title","offer_id":48740273619287,"sku":"9781529408676","price":18.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781529408676.jpg?v=1720054281"}],"url":"https:\/\/bookcurl.com\/collections\/probability-and-statistics.oembed?page=62","provider":"Book Curl","version":"1.0","type":"link"}