Probability and statistics Books
McGraw-Hill Education ISE Principles of Statistics for Engineers and
Book SynopsisAvailable for the first time in McGraw-Hill''s Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.Table of Contents1 Summarizing Univariate Data2 Summarizing Bivariate Data3 Probability4 Commonly Used Distributions5 Point and Interval Estimation for a Single Sample6 Hypothesis Tests for a Single Sample7 Inferences for Two Samples8 Inference in Linear Models9 Factorial Experiments10 Statistical Quality Control
£53.09
Cambridge University Press Handbook for Applied Modeling NonGaussian and
Book SynopsisDesigned 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 forTrade Review'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 ReviewsTable of Contents1. 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.
£35.14
Cambridge University Press Probability Theory and Statistical Inference
Book SynopsisDoubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification: invalid probabilistic assumptions imposed on data. Now in its second edition, this bestselling textbook offers a comprehensive course in empirical research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models, providing the basis for an informed implementation of statistical procedure to secure the trustworthiness of evidence. Each chapter has been thoroughly updated, accounting for developments in the field and the author''s own research. The comprehensive scope of the textbook has been expanded by the addition of a new chapter on the Linear Regression and related statistical models. This new edition is now more accessible to students of disciplines beyond economics and includes more pedagogical features, with an increased number of examples as well as review questions and Table of Contents1. An introduction to empirical modeling; 2. Probability theory as a modeling framework; 3. The concept of a probability model; 4. A simple statistical model; 5. Chance regularities and probabilistic concepts; 6. Statistical models and dependence; 7. Regression models; 8. Introduction to stochastic processes; 9. Limit theorems in probability; 10. From probability theory to statistical inference; 11. Estimation I: properties of estimators; 12. Estimation II: methods of estimation; 13. Hypothesis testing; 14. Linear regression and related models; 15. Mis-specification (M-S) testing.
£999.99
Barcharts, Inc Statistics Equations Answers
Book SynopsisStatistics problems can make the best students shudder as they near the classroom, but they need not worry any longer -- QuickStudy is here to help! A comprehensive, up-to-date collection of tips and tricks for understanding statistics/probability is contained in this 3-panel (6-page) guide, which is designed with easy-to-use icons to help students go right to the equations and problems they most need to learn, and also call out helpful tips to use and common pitfalls to avoid.
£9.36
APress Make Your Data Speak
Book SynopsisTable of ContentsIntroduction. Three stories that made me write this bookChapter 1. Data preparation 1.1 Analyzing and transforming the original data 1.2 Preparing the basis for a dashboard 1.3 Making data samples for visualizations 1.4. Setting up an interactivity 1.5. Summary and conclusions of the chapter, quick tricks Chapter 2. Dashboard assembling 2.1 Assembling a dashboard according to the layout 2.2 Creating KPI cards 2.3 Aligning a dashboard, adding a header 2.4 Summary and conclusions of the chapter, quick tricks Chapter 3. Anatomy of diagrams 3.1 Analyzing ready-made design styles 3.2 Setting up data labels 3.3 Working with the text: remove the excess, add the necessary 3.4 Designing bar charts 3.5 Setting up the chart template 3.6 Summary and conclusions of the chapter, quick tricks Chapter 4. Final dashboard design 4.1 Aligning the headers to the grid 4.2 Creating new cards on the top of the cells 4.3 Making interactive slicers 4.4 Working with Excel colors and fonts 4.5 Improving standard Excel themes 4.6. Summary and conclusions of the chapter, quick tricks Chapter 5. Corporate identity 5.1 Creating a theme in accordance with the brandbook 5.2 Adapting the theme according to the checklist 5.3 Creating a dashboard in a dark theme 5.4 Summary and conclusions of the chapter, quick tricks Chapter 6. Data visualization rules 6.1 Types of data analysis 6.2 How to choose charts 6.3 Life hacks for multiple data series 6.4 When you need everything at once 6.5 Funnel and waterfall 6.6 Summary and conclusions of the chapter, quick tricks Conclusion
£41.24
Nova Science Publishers Inc Mathematical Research Summaries (with
Book SynopsisThis book provides research summaries from a number of different focuses in Mathematics, and compiles biographical sketches of top professionals in this important field.
£195.19
Nova Science Publishers Inc Conventional and Fuzzy Regression: Theory and
Book SynopsisConventional and Fuzzy Regression: Theory and Applications aims to present both conventional and fuzzy regression analyses from theoretical aspects followed by application examples. The present book contains eight chapters originating from different scientific fields: River Engineering, Ecohydraulics, Telecommunications, Urban Planning, Transportation Planning, Hydrology, Soil Mechanics and Ecology. The first chapter deals with both crisp (conventional) linear or nonlinear regression and fuzzy linear or nonlinear regression. The application example refers to the relationship between sediment transport rates on the one hand and stream discharge and rainfall intensity on the other hand. In the examined case, the data of both categories are insufficient, and furthermore, the phenomenon is characterized by high complexity and uncertainties. The second chapter refers to the crisp linear or nonlinear regression of six heavy metals between different soft tissues and shells of Telescopium telescopium and its habitat surface sediments. The third chapter describes the crisp linear, multiple linear, nonlinear and Gaussian process regressions. The main application paradigms include the prediction in wireless systems, the predictive analytics in Internet of Things (IoT) based systems, and coding theory focused on extrinsic information scaling in turbo codes. The fourth chapter is confronted with a classic regression model, named Geographically Weighted Regression (GWR), which constitutes a spatial statistics method. The application example of this chapter concerns the housing value, i.e., a spatial phenomenon that is expressed as a function of housing characteristics. The fifth chapter regards fuzzy linear regression based on symmetric triangular fuzzy numbers. The main application of this regression consists of the analysis and forecast of rail passenger demand between two nearby cities. The dependent variable concerns the rail passengers and the independent variables are the Gross Domestic Product (GDP) per capita, the cost of transport by rail and the road transport fuel prices. The sixth chapter treats fuzzy linear regression based on trapezoidal membership functions. In concrete terms, three possible models with trapezoidal fuzzy parameters are described. The main application of this chapter concerns the dependence of rainfall records between neighboring rainfall stations for a small sample of data. The seventh chapter refers to the multivariable crisp and fuzzy linear regression. In the application paradigm, the dependent variable is the strength of fiber reinforced soils, while the independent variables are pertinent to soil, fiber and laboratory tests. The eighth chapter deals with the fuzzy linear regression, with crisp input data and fuzzy output data. In the application example, a relation between the levels of chlorophyll-a in an artificial lake and water temperature, nitrate, total phosphorus and Secchi depth is established. All the above chapters offer a proper foundation of either widely used or new techniques upon regression. Among the new techniques, several innovated fuzzy regression based methodologies are developed for real problems, and useful conclusions are drawn.
£999.99
Nova Science Publishers Inc Statistics: Volume 1 -- The Fundamentals
Book SynopsisWe utilize statistics in our daily lives when we evaluate TV program ratings, predict voting outcomes, prepare stock, predict the amounts of sales, and evaluate the effectiveness of medical treatment. We predict the result not on the basis of personal experience, but on the basis of data. However, the accuracy of the prediction depends on the data, the theory, and the depth of understanding the model. In this book, the author analyzes fundamental models to advanced models without skipping their derivation processes. It is then possible to clearly understand the assumption and approximations used in the model, and hence understand the limitation of the model. We also cover almost all of the subjects in statistics since they are all related to each other. Although this book treats advanced models, people who are not professional in science can easily understand the content since by stepping up the derivation from the fundamental level to the advanced level. The author does hope that readers can understand the meaning of the models in statistics and techniques to reach the final results.
£219.99
Nova Science Publishers Inc Statistics: Volume 2 -- Multiple Variable
Book SynopsisWe utilize statistics in our daily life: when we evaluate TV program ratings, predict voting results, prepare stocks, make sales predictions, and when we evaluate the effectiveness of medical treatments, to name a few. We predict the results not on the basis of personal experience, but on the basis of data. However, the accuracy of the prediction depends on the data, the theory, and the depth of understanding of the model used. This book consists of three volumes: The first volume covers the fundamentals of statistics; The second volume discusses multiple variable analyses; and the third volume covers categorical and time dependent data analysis.In this volume, we cover multiple variable analysis. We frequently use many variables in the real world, and its important to study the relationship between these variables. First, we treat correlation and regression as two variables, and then extend to multiple variables. We also review various techniques to approach the many variables in this volume.In this book, we cover fundamental models to advanced models without skipping their derivation processes. We can then clearly understand the assumption and approximations used in each model, and hence, understand the limitations of the models. We also discuss almost all of the subjects in statistics, since they are all related to each other.Although this book includes advanced models, readers who are not statisticians can easily understand the content, since we work our way up the derivations from the fundamental level to advanced levels without skipping any. We do hope that the readers will come away with an understanding of the meaning of the models in statistics, and the techniques used to reach the final results.
£999.99
Nova Science Publishers Inc Statistics -- Volume 3: Categorical and Time
Book SynopsisWe utilize statistics when we evaluate TV program ratings, predict voting outcomes, prepare stock, predict the amount of sales, and evaluate the effectiveness of medical treatment. We want to predict the results not on the basis of personal experience or images, but on the basis of corresponding data. The accuracy of the prediction depends on the data and related theories. It is easy to show input and output data associated with a model without understanding it. However, the models themselves are not perfect, because they contain assumptions and approximations in general. Therefore, the application of the model to the data should be careful. We should know what model we should apply to the data, what parameters are assumed in the model, and what we can state based on the results of the models.Let us consider a coin toss, for example. When we perform a coin toss, we obtain a head or a tail. If we try the toss a coin three times, we may obtain the results of two heads and one tail. Therefore, the probability that we obtain for heads is , and the one that we obtain for tails is . This is a fact and we need not to discuss this any further. It is important to notice that the probability ( ) of getting a head is limited to this trial. Therefore, we can never say that the probability that we obtain for heads with this coin is , in which we state general characteristics of the coin. If we perform the coin toss trial 400 times and obtain heads 300 times, we may be able to state that the probability of obtaining a head is as the characteristics of the coin. What we can state based on the obtained data depends on the sample number. Statistics gives us a clear guideline under which we can state something is based on the data with corresponding error ranges.Mathematics used in statistics is not so easy. It may be tough work to acquire the related techniques. Fortunately, software development makes it easy to obtain results. Therefore, many members who are not specialists in mathematics can perform statistical analysis with these types of software. However, it is important to understand the meaning of the model, that is, why some certain variables are introduced and what they express, and what we can state based on the results. Therefore, understanding mathematics related to the models is invoked to appreciate the results.In this book, the authors treat models from fundamental ones to advanced ones without skipping their derivation processes. It is then possible to clearly understand the assumptions and approximations used in the models, and hence understand the limitation of the models.The authors also cover almost all the subjects in statistics since they are all related to each other, and the mathematical treatments used in a model are frequently used in the other ones.Additionally, many good practical and theoretical books on statistics are presented [1]-[10]. However, these books are oriented to special cases: Fundamental, mathematical, or special subjects. The author also aims to connect theories to practical subjects. He hopes that this book will aid readers in furthering their knowledge of special cases in statistics.
£191.19
Nova Science Publishers Inc Characterizations of Exponential Distribution by
Book SynopsisExponential distribution is one of the most-used distributions in the theory and practice of statistics. It has several important properties like being memoryless and having a constant hazard rate. The field of characterization is developed in different branches of statistics and applied probability. Ordered random variables are common in various applications in practice. In this book, characterizations of exponential distribution using ordered random variables are presented. Most of the known results as well as many new results are given in this book. The aim of the book is to present various characterizations of exponential distribution based on ordered random variables. The book is written on a lower technical level and requires basic knowledge of mathematics and statistics. Chapter 1 gives some basic properties of exponential distribution. Chapters 2, 3, and 4 give the characterization of exponential distribution based on order statistics, record values, and generalized order statistics.Table of ContentsFor more information, please visit our website at:https://novapublishers.com/shop/characterizations-of-exponential-distribution-by-ordered-random-variables/
£72.24
Nova Science Publishers Inc Evolutionary Processes and Applications
Book SynopsisThis book presents and discusses new developments in the study of evolutionary processes. Topics discussed include evolution of magneto-acoustic waves in isothermal atmosphere, quantum dynamical semigroups, traveling waves in discrete models of biological population, motion of electrorheological fluids, Stacklberg control of a backward linear heat equation, Leray weak solutions of Navier-Stokes equation involving one directional derivative, and initial value boundary problem of an evolutionary p(x)-Laplacian equation.
£113.59
Nova Science Publishers Inc An Introduction to the Extended Kalman Filter
Book Synopsis
£62.04
Nova Science Publishers Inc Characterizations of Recently Introduced
Book SynopsisThis monograph is, as far as the author has gathered, the third one of its kind which presents various characterisations of many important continuous distributions. It consists of two chapters. The first chapter lists cumulative distributions and probability density functions of six hundred and sixty-seven newly proposed univariate continuous distributions. Chapter Two consists of four sections. Section 2.1 provides characterisations of the majority of the distributions mentioned in Chapter One, based on the ratio of two truncated moments. Section 2.2 takes up the characterizations of some of these distributions in terms of their hazard functions. Section 2.3 deals with the characterizations some of these distributions based on their reverse hazard functions. Characterizations of some of these distributions based on the conditional expectations of certain functions of the random variable are presented in Section 2.4. As pointed out in our previous Monographs (I & II), a good number of proposed distributions in this volume have already been introduced in the literature.Table of ContentsPreface; Introduction; Characterizations of distributions; Characterizations based on two truncated moments; Characterization in terms of hazard function; Characterization in terms of the reverse (or reversed) hazard function; Characterization based on the conditional expectation of certain function of the random variable; Appendix A; Index.
£999.99
Nova Science Publishers Inc Applied Statistical Science IV
Book Synopsis
£113.59
Nova Science Publishers Inc Bivariate Data Analysis: A Practical Guide
Book SynopsisThe purpose of this book is to help the users of computerised statistical packages make the correct statistical choices to match the data they have already collected. It is assumed that the reader has information available on the use of the statistical package. While most statistical packages will perform whatever statistical analyses the user chooses, the package will not help the user in the selection of the choice or in the interpretation of the results. Thus, a statistical package is only a tool. While statistical packages come with instructions on their use, the user must know how to apply the package to the data available and how to read the results printed. The book provides a simple to understand, step-by-step guide for the user of any computerised statistical package. This book is designed to bivariate (two variables tested together) data analysis.
£67.99
Nova Science Publishers Inc Inequality Theory & Applications
Book SynopsisInequality Theory & Applications
£106.39
Nova Science Publishers Inc Inequality Theory & Applications: Volume 2
Book SynopsisThe aim of this volume is to introduce and exchange recent new topics in the areas of probability theory and applications in inequality theory, stochastic analysis and applications.
£106.39
Nova Science Publishers Inc Focus on Probability Theory
Book SynopsisProbability theory is the mathematical theory of random (non-deterministic) phenomena. This book presents the latest research in the field.
£173.24
Nova Science Publishers Inc Inequality Theory & Applications: Volume 5
Book SynopsisThe aim of this volume is to introduce and exchange recent new topics on the areas of inequality theory and their applications dealing in pure and applied mathematics.
£131.19
Nova Science Publishers Inc On Nonsymmetric Topological & Probabilities
Book SynopsisIn this book, generally speaking, some properties of bitopological spaces generated by certain non-symmetric functions are studied. These functions, called "probabilistic quasi-pseudo-metrics" and "fuzzy quasi-pseudo-metrics", are generalisations of classical quasi-pseudo metrics. For the sake of completeness as well as for convenience and easy comparison, most of the introductory paragraphs are mainly devoted to fundamental notions and results from the classical -- deterministic or symmetric -- theory.
£110.24
Nova Science Publishers Inc Recent Developments in Ordered Random Variables
Book SynopsisThe ordered random variables play important roles in the theory and practice of statistics. They possess significant statistical properties. Over the last few decades, many articles on various topics of ordered statistical data have appeared. Our handbook comprises twenty one chapters discussing various topics on theory and applications. The editors of this book worked together several articles on order and record statistics, which covered the subjects of distributional properties, characterisations and statistical inferences. It was a special interest to co-ordinate and edit an interesting research problem based on material contributed by several prominent researchers from all over the world. This book presents new developments in the subject of ordered random variables. These aspects involve theory of ordered random variables, reliability theory, stochastic ordering, bounds, characterisations, and estimation and prediction techniques.
£176.24
Nova Science Publishers Inc Applied Statistics Research Progress
Book SynopsisComputers have taken a permanent place in almost every human endeavor in the last 20 years. This infiltration requires a learning process on the part of the people utilizing them and realizing where and how computers can be best used beyond the basic and obvious applications. Statistics is an example of their application in many diverse fields to reach conclusions and make projections never before possible. Beyond this, applied statistics is rapidly becoming not only an instrument, but an integral part of the advance of knowledge. There are many fields such as medicine, biology, weather prediction, military planning, and numerous others where the statistical studies are essential before the next step can be taken. This new book presents the latest research in the field from around the globe.
£73.49
Nova Science Publishers Inc Collected Volume of Statistical Works of Q M
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£76.49
Nova Science Publishers Inc Probability: Interpretation, Theory &
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£152.99
Nova Science Publishers Inc Inequality Theory & Applications: Volume 6
Book SynopsisThis book introduces and exchanges recent innovative topics on the areas of fixed point theory, convex and set-valued analysis, variational inequality and complementarity problem theory, non-linear ergodic theory, difference, differential and integral equations, control and optimisation theory, dynamic system theory, inequality theory, stochastic analysis and probability theory, and their applications.
£999.99
Nova Science Publishers Inc Future of Post-Human Probability: Towards a New
Book SynopsisIs the degree of probability that an individual holds when betting on a particular outcome really so subjective that, as Frank Ramsey once argued, "objective logical relations" do not exist and that "probability is ''the logic of partial belief"? (WK 2012a) This subjective interpretation of probability can be contrasted with an objective view by John Keynes, who argued instead that "logical probabilities are conceived to be objective, logical relations between propositions (or sentences), and hence not to depend in any way upon belief". (WK 2012) Contrary to these opposing interpretations (and other ones as will be discussed in the book), probability (in relation to both objectivity and subjectivity) are neither possible (nor impossible) nor desirable (or undesirable) to the extent that the respective ideologues (on different sides) would like us to believe. Surely, this questioning of the opposing interpretations on probability does not entail that probability is useless, or that those fields related to probability (like "statistics, finance, gambling, science, artificial intelligence/machine learning and philosophy") are not worth studying. Needless to say, neither of these extreme views is reasonable. Instead, this book offers an alternative way to understand the future of probability, especially in the dialectic context of objectivity and subjectivity -- while learning from different approaches in the literature but without favouring any one of them (nor integrating them, since they are not necessarily compatible with each other). More specifically, this book offers a new theory (that is, the interpretivist theory of probability) in order to go beyond the existing approaches in a novel way. To understand this, the book is organised in four chapters. This seminal project will fundamentally change the way that we think about probability in relation to objectivity and subjectivity from the combined perspectives of the mind, nature, society, and culture, with enormous implications for the human future and what I originally called its "post-human" fate.
£248.99
Nova Science Publishers Inc Applied Statistical Theory & Applications
Book SynopsisThis book makes a significant contribution to the advancement of statistical science. It contains research in many statistical designs, compares many statistical models, and includes a theory that is oriented to real life problems.
£182.99
Nova Science Publishers Inc Structural Equation Modeling (SEM): Concepts,
Book SynopsisStructural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and the testing of specific effects and contrasts in three types of mediation models followed by a discussion on the common types of mediation models and their different types of effects.
£999.99
New Age International (UK) Ltd Probability Distributions of a Single Random
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£38.00
New Age International (UK) Ltd The Elements of Statistics and Dynamics: Part-I:
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£20.00
Biteback Publishing Forewarned: A Sceptic's Guide to Prediction
Book SynopsisWhether it’s an unforeseen financial crash, a shock election result or a washout summer that threatens to ruin a holiday in the sun, forecasts are part and parcel of our everyday lives. We rely wholeheartedly on them, and become outraged when things don’t go exactly to plan. But should we really put so much trust in predictions? Perhaps gut instincts can trump years of methodically compiled expert knowledge? And when exactly is a forecast not a forecast? Forewarned will answer all of these intriguing questions, and many more. Packed with fun anecdotes and startling facts, Forewarned is a myth-busting guide to prediction, based on the very latest scientific research. It lays out the many ways forecasting can help us make better decisions in an unpredictable modern world, and reveals when forecasts can be a reliable guide to the uncertainties of the future – and when they are best ignored.
£12.34
Springer Computer Vision
Book SynopsisAs the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. This book covers David Marr's paradigm and various underlying statistical models for vision.
£42.49
S Chand & Co Ltd Class Textbook of Business Statistics
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£999.99
Sports Publication A Textbook on Sports Statistics
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£28.12
ANE Books Probability and Numerical Methods
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£999.99
Nova Science Publishers Inc Record Values and Their Applications for
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£999.99
HarperCollins Publishers THE TYRANNY OF NUMBERS Why Counting Cant Make Us Happy
Book SynopsisNever before have we attempted to measure as much as we do today. Why are we so obsessed with numbers? What can they really tell us?Trade Review‘A great antidote to cynicism, and a sharply witty reminder of what is important in life.’ Independent ‘Wonderfully subversive.’ Guardian.
£11.39
Penguin Putnam Inc Scale
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£15.20
Oxford University Press Basic Statistics for the Behavioral and Social Sciences Using R
a huge range and FREE tracked UK delivery on ALL orders.
£80.74
Oxford University Press, USA Monte Carlo Modeling for Electron Microscopy and Microanalysis 9 Oxford Series in Optical and Imaging Sciences
Book SynopsisThis book is a practical guide to the use of Monte Carlo simulation techniques for the study of electron solid interactions in the electron microscope. Programs, optimized for use on personal computers, are developed to deal with typical applications including secondary, and back- scattered, electron imaging. EBIC imaging of semiconductors and X-ray microanalysis.Trade Review`... provides an outstanding introduction for the microscopist seeking to make new use of this powerful simulation tool, as well as a great resource for established modelers looking to extend their knowledge... clearly written and strongly supported by practical examples throughout.' Radiation and Physical ChemistryTable of ContentsPreface ; 1. An Introducton to Monte Carlo Methods ; 2. Constructing a Simulation ; 3. The Single Scattering Model ; 4. The Plural Scattering Model ; 5. Practical Applications of Monte Carlo Models ; 6. Backscattered Electrons ; 7. Charge Collection Microscopy and Cathodoluminescence ; 8. Secondary Electrons and Imaging ; 9. X-ray Production and Micro-Analysis ; 10. What Next in Monte Carlo Simulations?
£167.50
Oxford University Press Elementary Signal Detection Theory
Book SynopsisSignal detection theory, as developed in electrical engineering and based on statistical decision theory, was first applied to human sensory discrimination about 40 years ago. The theory''s intent was to explain how humans discriminate and how we might use reliable measures to quantify this ability. An interesting finding of this work is that decisions are involved even in the simplest of discrimination tasks--say, determining whether or not a sound has been heard (a yes-no decision). Detection theory has been applied to a host of varied problems (for example, measuring the accuracy of diagnostic systems, survey research, reliability of lie detection tests) and extends far beyond the detection of signals. This book is a primer on signal detection theory, useful for both undergraduates and graduate students.Trade Review"This book contains the theoretical explications of the ways observers detect weak, uncertain, or ambiguous signals. It explains the math underlying the theory, and outlines its uses in measuring an observer's sensitivity. The book is intended to serve as an introductory text for undergraduate or graduate courses in sensation and perception, psychophysics, cognition, and quantitative methods; it may also be used as a reference for researchers. Wickens teaches at the University of California, Los Angeles."--SciTech Book News "This book contains the theoretical explications of the ways observers detect weak, uncertain, or ambiguous signals. It explains the math underlying the theory, and outlines its uses in measuring an observer's sensitivity. The book is intended to serve as an introductory text for undergraduate or graduate courses in sensation and perception, psychophysics, cognition, and quantitative methods; it may also be used as a reference for researchers. Wickens teaches at the University of California, Los Angeles."--SciTech Book NewsTable of Contents1. The signal-detection model ; 2. The equal-variance Gaussian model ; 3. Operating characteristics and the Gaussian model ; 4. Measures of detection performance ; 5. Confidence ratings ; 6. Forced-choice procedures ; 7. Discrimination and identification ; 8. Finite-state models ; 9. Likelihoods and likelihood ratios ; 10. Multidimensional stimuli ; 11. Statistical treatment ; A. A summary of probability theory ; References
£67.45
Oxford University Press Molecular Evolution and Phylogenetics
Book SynopsisThis book presents the statistical methods that are useful in the study of molecular evolution and illustrates how to use them in actual data analysis. Molecular evolution has been developing at a great pace over the past decade or so, driven by the huge increase in genetic sequence data from many organisms, the improvement of high-speed microcomputers, and the development of several new methods for phylogenetic analysis. This book for graduate students and researchers, assuming a basic knowledge of evolution, molecular biology, and elementary statistics, should make it possible for many investigators to incorporate refined statistical analysis of large-scale data in their own work. Nei is one of the leading workers in this area. He and Kumar have developed a computer program called MEGA, which has been sold for about $20 to over 1900 users. For the book, the authors are thoroughly revising MEGA and will make it available via FTP. The book also included analysis using the other most poTrade ReviewIt is worth its price * Plant Systematics and Evolution *Table of Contents1. Molecular basis of evolution ; 2. Evolutionary changes of amino acid sequences ; 3. Evolutionary changes of DNA sequences ; 4. Synonymous and nonsynonymous nucleotide substitutions ; 5. Phylogenetic trees ; 6. Phylogenetic inference: Distance methods ; 7. Phylogenetic inference: Maximum parsimony methods ; 8. Phylogenetic inference: Maximum likelihood methods ; 9. Accuracies and statistical tests of phylogenetic trees ; 10. Molecular clocks and linearized trees ; 11. Ancestral nucleotide and amino acid sequences ; 12. Genetic polymorphism and evolution ; 13. Population trees from genetic markers ; 14. Perspectives ; Appendices ; A. Mathematical sumbols and notations ; B. Geological timescale ; C. Geological events in the Cenozoic and Meszoic eras ; D. Evolution of organisms based on the fossil record
£94.05
Clarendon Press Statistical Data Analysis
Book SynopsisThis book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).Trade Review"Glen Cowan is a particle physicist who seems to have got everything right. Results are stated clearly, without mathematical proof but with enough explanation to satisfy the physicist's need to understand not only how, but also why...Those teaching an advanced undergraduate or graduate course in statistics or physicists will find this a good textbook...Do not be fooled by the fact that it does not have the "textbook look" - the exercises have been made available separately on a Web site. " CERN CourierTable of ContentsPreface ; Notation ; 1. Fundamental Concepts ; 2. Examples of Probability Functions ; 3. The Monte Carlo Method ; 4. Statistical Tests ; 5. General Concepts of Parameter Estimation ; 6. The Method of Maximum Likelihood ; 7. The Method of Least Squares ; 8. The Method of Moments ; 9. Statistical Errors, Confidence Intervals and Limits ; 10. Characteristic Functions and Related Examples ; 11. Unfolding ; Bibliography ; Index
£125.00
Oxford University Press The Theory of Probability
Book SynopsisAnother title in the reissued Oxford Classic Texts in the Physical Sciences series, Jeffrey''s Theory of Probability, first published in 1939, was the first to develop a fundamental theory of scientific inference based on the ideas of Bayesian statistics. His ideas were way ahead of their time and it is only in the past ten years that the subject of Bayes'' factors has been significantly developed and extended. Until recently the two schools of statistics (Bayesian and Frequentist) were distinctly different and set apart. Recent work (aided by increased computer power and availability) has changed all that and today''s graduate students and researchers all require an understanding of Bayesian ideas. This book is their starting point.Trade ReviewThough mathematically very demanding, the principles and examples are clear enough, and Jeffreys' trenchant references to critics of Bayesian methods often made me laugh out loud - an unusual experience with an advanced statistics text. Its selection as an Oxford Classic Text is unusual but well judged. * Robert Matthews, New Scientist *Table of Contents1. Fundamental notions ; 2. Direct probabilities ; 3. Estimation problems ; 4. Approximate methods and simplifications ; 5. Significance tests: one new parameter ; 6. Significance tests: various complications ; 7. Frequency definitions and direct methods ; 8. General questions
£88.35
Oxford University Press Likelihood Methods in Statistics 22 Oxford Statistical Science Series
Book SynopsisLikelihood methods play a central role in statistical theory and methodology. Recently, a new approach to likelihood inference has been developed that often leads to substantial improvements over classical methods. This book gives a detailed introduction to this modern theory of likelihood methods.Trade ReviewThis book is an excellent account of likelihood-based statistical inference; I believe that it will be a very useful addition to any scholarly library. * Biometrics *
£160.00
Clarendon Press Graphical Models
Book SynopsisThe idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical models in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritative account of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated with various type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, Trade Review...this is an excellent reference book for those who are interested in studying the mathematical theory for graphical models. * Short Book Reviews, vol. 18, no. 1, April 1998 *Table of ContentsIntroduction ; 1. Graphs and Hypergraphs ; 2. Conditional Independence and Markov Properties ; 3. Contingency Tables ; 4. Multivariate Normal Models ; 5. Models for Mixed Data ; 6. Further topics ; A Various Prerequisites ; B Linear Algebra and Random Vectors ; C The Multivariate Distribution ; D Exponential Models
£140.00
Clarendon Press Recent Advances in Descriptive Multivariate Analysis 2 Royal Statistical Society Series
Book SynopsisThis is a state-of-the-art summary of a wide range of topics within the field of Descriptive Multivariate Analysis. Each chapter is by an acknowledged authority in the field and provides a readable, comprehensive coverage of the topic for the practising statistician.Table of ContentsForeword ; 1. Clustering from the perspective of combinatorial data analysis ; 2. Developments in principal component analysis ; 3. Canonical discriminant analysis: comparison of resampling methods and convex-hull approximation ; 4. Nonlinear methods for the analysis of homogeneity and heterogeneity ; 5. Principles component models for patterned covariance matrices, with applications to canonical correlation analysis of several sets of variables ; 6. Orthogonal and projection Procrustes analysis ; 7. Graphical Modelling ; 8. Convergent computation by iterative majorization: theory and applications in multidimensional data analysis ; 9. Biplot display of multivariate categorical data, with comments on multiple correspondence analysis ; 10. MANOVA biplots for two-way contingency tables ; 11. Some tools for the multivariate analysis of functional data ; 12. A general theory of biplots ; References
£145.00
