Data science and analysis Books
Pelagic Publishing Measuring Abundance: Methods for the Estimation
Book SynopsisMeasuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring. This book brings together in one place, for the first time, the methods used to estimate the abundance of individuals in nature. The statistical basis of each method is detailed along with practical considerations for survey design and data collection. Methods are illustrated using data ranging from Alaskan shrubs to Yellowstone grizzly bears, not forgetting Costa Rican ants and Prince Edward Island lobsters. Where necessary, example code for use with the open source software R is supplied. When appropriate, reference is made to other widely used programs. After opening with a brief synopsis of relevant statistical methods, the first section deals with the abundance of stationary items such as trees, shrubs, coral, etc. Following a discussion of the use of quadrats and transects in the contexts of forestry sampling and the assessment of plant cover, there are chapters addressing line-intercept sampling, the use of nearest-neighbour distances, and variable sized plots. The second section deals with individuals that move, such as birds, mammals, reptiles, fish, etc. Approaches discussed include double-observer sampling, removal sampling, capture-recapture methods and distance sampling. The final section deals with the measurement of species richness; species diversity; species-abundance distributions; and other aspects of diversity such as evenness, similarity, turnover and rarity. This is an essential reference for anyone involved in advanced undergraduate or postgraduate ecological research and teaching, or those planning and carrying out data analysis as part of conservation survey and monitoring programmes.Trade ReviewA real strength of Measuring Abundance is the simplicity of the writing. One highlight that helps to transform the book into something more than a true reference manual is the advice and sampling tips scattered throughout -- Jo A. Werba * Quarterly Review of Biology *An excellent resource for ecologists, ornithologists, wildlife researchers and environmentalists...and an excellent addition to any library’s collection. -- Kuldeep Kumar * Journal of the Royal Statistical Society: Statistics in Society *Measuring Abundance is an excellent tool for agency and non‐governmental biologists looking to better understand baseline population sizes or develop long‐term monitoring programs. Furthermore, for many graduate students, this book may be a useful resource for reviewing and covering a range of methods available to measure abundance. -- Molly McDevitt, The Journal of Wildlife ManagementTable of ContentsPreface Acknowledgements Part I. Background 1. Statistical ideas Part II. Stationary individuals 2. Quadrats and transects 3. Points and lines 4. Distance methods 5. Variable sized plots Part III. Mobile individuals 6. Quadrats, transects, points, and lines – revisited 7. Capture-recapture methods 8. Distance methods Part IV. Species 9. Species richness 10. Diversity 11. Species abundance distributions (SADS) 12. Other aspects of diversity Appendix Notes Further reading References Index of Examples General Index
£33.25
Pelagic Publishing Measuring Abundance: Methods for the Estimation
Book SynopsisMeasuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring. This book brings together in one place, for the first time, the methods used to estimate the abundance of individuals in nature. The statistical basis of each method is detailed along with practical considerations for survey design and data collection. Methods are illustrated using data ranging from Alaskan shrubs to Yellowstone grizzly bears, not forgetting Costa Rican ants and Prince Edward Island lobsters. Where necessary, example code for use with the open source software R is supplied. When appropriate, reference is made to other widely used programs. After opening with a brief synopsis of relevant statistical methods, the first section deals with the abundance of stationary items such as trees, shrubs, coral, etc. Following a discussion of the use of quadrats and transects in the contexts of forestry sampling and the assessment of plant cover, there are chapters addressing line-intercept sampling, the use of nearest-neighbour distances, and variable sized plots. The second section deals with individuals that move, such as birds, mammals, reptiles, fish, etc. Approaches discussed include double-observer sampling, removal sampling, capture-recapture methods and distance sampling. The final section deals with the measurement of species richness; species diversity; species-abundance distributions; and other aspects of diversity such as evenness, similarity, turnover and rarity. This is an essential reference for anyone involved in advanced undergraduate or postgraduate ecological research and teaching, or those planning and carrying out data analysis as part of conservation survey and monitoring programmes.Trade ReviewA real strength of Measuring Abundance is the simplicity of the writing. One highlight that helps to transform the book into something more than a true reference manual is the advice and sampling tips scattered throughout -- Jo A. Werba * Quarterly Review of Biology *An excellent resource for ecologists, ornithologists, wildlife researchers and environmentalists...and an excellent addition to any library’s collection. -- Kuldeep Kumar * Journal of the Royal Statistical Society: Statistics in Society *Measuring Abundance is an excellent tool for agency and non‐governmental biologists looking to better understand baseline population sizes or develop long‐term monitoring programs. Furthermore, for many graduate students, this book may be a useful resource for reviewing and covering a range of methods available to measure abundance. -- Molly McDevitt, The Journal of Wildlife ManagementTable of ContentsPreface Acknowledgements Part I. Background 1. Statistical ideas Part II. Stationary individuals 2. Quadrats and transects 3. Points and lines 4. Distance methods 5. Variable sized plots Part III. Mobile individuals 6. Quadrats, transects, points, and lines – revisited 7. Capture-recapture methods 8. Distance methods Part IV. Species 9. Species richness 10. Diversity 11. Species abundance distributions (SADS) 12. Other aspects of diversity Appendix Notes Further reading References Index of Examples General Index
£71.25
Pelagic Publishing An Introduction to R: Data Analysis and Visualization
Book SynopsisThe modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science. Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.Table of Contents1. A brief introduction to R 2. Basic math 3. Introduction to R objects 4. Making and importing data objects 5. Managing and exporting data objects 6. R object types and their properties 7. Working with data objects 8. Manipulating data objects 9. Summarizing data 10. Tabulation 11. Graphics: basic charts 12. Graphics: adding to plots 13. Graphics: advanced methods 14. Analyze data: statistical analyses 15. Programming tools Appendix Index
£71.25
Pelagic Publishing An Introduction to R: Data Analysis and
Book SynopsisThe modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science. Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.Table of Contents1. A brief introduction to R 2. Basic math 3. Introduction to R objects 4. Making and importing data objects 5. Managing and exporting data objects 6. R object types and their properties 7. Working with data objects 8. Manipulating data objects 9. Summarizing data 10. Tabulation 11. Graphics: basic charts 12. Graphics: adding to plots 13. Graphics: advanced methods 14. Analyze data: statistical analyses 15. Programming tools Appendix Index
£35.00
Edward Elgar Publishing Ltd Working with Paradata, Marginalia and Fieldnotes:
Book SynopsisThis book asks the important question; Can the by-products of research activity be treated as data and of research interest in themselves? This groundbreaking interdisciplinary volume considers the analytic value of a range of 'by-products' of social research and reading. These include electronically captured paradata on survey administration, notes written in the margins of research documents and literary texts, and fieldnotes and ephemera produced by social researchers. Revealing the relational nature of paradata, marginalia and fieldnotes, contributions examine how the craft of studying and analyzing these by-products offers insight into the intellectual, social and ethical processes underpinning the activities of research and reading. Unique and engaging, this book is a must read for social researchers and sociologists, narrative analysts, literary scholars and historians. Bridging methodological boundaries, it will also prove of great value to quantitative and qualitative methodologists alike.Contributors include: K. Bell, J. Boddy, R.G. Burgess, G.B. Durrant, R. Edwards, H. Elliott, E. Fahmy, J. Goodwin, H.J. Jackson, D. Kilburn, O. Maslovskaya, H. O'Connor, A. Phoenix, W.H. ShermanTrade Review'This is an extremely important book that brings to the attention of social researchers and methodologists the fascinating potential and intrinsic interest of three kinds of by-product of the research process - field notes, paradata, and marginalia. Many of us are unfamiliar with all or some of these sources. The book is full of worked examples of their use which greatly enhances the book's utility for all of us. The editors and authors have done us all a great service in bringing to our attention research sources that can no longer be ignored.' --Alan Bryman, University of Leicester, UK'Paradata will become increasingly important to researchers, both as an insight into the complexity and richness of participants and contexts, but also it has great potential to improve the quality of our research. Ros Edwards and her colleagues have provided us with a wonderfully comprehensive set of essays that are both insightful and valuable. This is a book which will have great appeal to students and professional researchers from both the quantitative and qualitative traditions.' --Malcolm Williams, Cardiff University, UK'Taking an expansive and inclusive approach to its topic, Working with Paradata, Marginalia and Fieldnotes offers a stimulating tour of a neglected domain of methodology. Readers who customarily regard paradata as a ''dry and dull'' element of data archiving will be delighted to read of the hidden corners of the research enterprise that this book's understanding of paradata and marginalia illuminates. Launching what is effectively a new field of inquiry, the book shows how these materials contribute to the field's renewed process of self-discovery.' --Nigel Fielding, University of Surrey, UKTable of ContentsContents: Marginalia - A Poem by Billy Collins Preface Robert G. Burgess 1. Introduction: Working with Paradata, Marginalia and Fieldnotes John Goodwin, Henrietta O’Connor, Ann Phoenix and Rosalind Edwards 2. Paradata for Non-response Investigations in Social Surveys Gabrielle B. Durrant and Olga Maslovskaya 3. Using Paradata to Evaluate Survey Quality: Behaviour Coding the 2012 PSE UK Survey Eldin Fahmy and Karen Bell 4. ‘Another Long and Involved Story’: Narrative Themes in the Marginalia of the Poverty in the UK Survey Ann Phoenix, Janet Boddy, Rosalind Edwards and Heather Elliott 5 ‘The House Seemed to be Falling Down Around Their Ears’: Contesting and Amplifying Observations of Housing Through Qualitative Survey Paradata Daniel Kilburn 6. The Secondary Analysis of Fieldnotes, Marginalia and Paradata from Past Studies of Young People Henrietta O’Connor and John Goodwin 7. John Adam’s Marginalia: Then and Now H.J. Jackson 8. ‘Soiled by Use’ or ‘Enlivened by Association’? Attitudes Towards Marginalia William H. Sherman 9. Afterword: The Craft of Paradata, Marginalia and Fieldnotes Rosalind Edwards, Ann Phoenix, John Goodwin and Henrietta O’Connor Index
£88.35
World Scientific Europe Ltd Statistical Data Science
Book SynopsisAs an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis.Featuring chapters from established authors in both disciplines, the book also presents a number of applications and accompanying papers.
£76.00
Emerald Publishing Limited The Ethics of Online Research
Book SynopsisThis volume focuses on the ethics of internet and social networking research exploring the challenges faced by researchers making use of social media and big data in their research. The internet, the world wide web and social media – indeed all forms of online communications – are attractive fields of research across a range of disciplines. They offer opportunities for methodological initiatives and innovations in research and easily accessed, massive amounts of primary and secondary data sources. This collection examines the new challenges posed by data generated online, explores how researchers are addressing those ethical challenges, and provides rich case studies of ethical decision making in the digital age.Trade ReviewSocial science researchers from the UK and Australia provide 10 chapters on the ethical aspects of internet-mediated and social media research. They address ethical challenges of specific research issues, social media platforms, or approaches, particularly the organized ethics review process; users’ views of ethics in social media research; the roles of researchers and participants; Twitter as a data source; informed consent; the use of Tinder; publishing and sharing social media research data; an ethics framework for working with social media data; and recommendations for improving ethical standards. The volume originated in the formation of an online community of practice called “New Social Media, New Social Science?” in 2011. -- Annotation ©2018 * (protoview.com) *Table of ContentsIntroduction: The Ethics of Online Research; Kandy Woodfield and Ron Iphofen 1. The Ethical Disruptions of Social Media Data: Tales from the Field; Susan Halford 2. Users’ View of Ethics in Social Media Research: Informed Consent, Anonymity and Harm; Matthew L. Williams, Pete Burnap, Luke Sloan, Curtis Jessop and Hayley Lepps 3. The Changing Roles of Researchers and Participants in Digital and Social Media Research: Ethics Challenges and Forward Directions; Sarah Quinton and Nina Reynolds 4. Using Twitter as a Data Source: An Overview of Ethical, Legal and Methodological Challenges; Wasim Ahmed, Peter A. Bath, Gianluca Demartini 5. Getting to Yes: Informed Consent in Qualitative Social Media Research; Janet Salmons 6. The Trouble with Tinder: The Ethical Complexities of Researching Location-Aware Social Discovery Apps; Jenna Condie, Garth Lean and Brittany Wilcockson 7. Ethical Challenges of Publishing and Sharing Social Media Research Data; Libby Bishop and Daniel Gray 8. The Ethics of Using Social Media Data in Research: A New Framework; Leanne Townsend and Claire Wallace 9. Where Next for #SocialEthics?; Steven Ginnis Conclusion: Guiding the Ethics of Online Social Media Research - Adaptation or Renovation?; Ron Iphofen
£82.99
Edward Elgar Publishing Ltd Handbook of Qualitative Research Techniques and
Book SynopsisOne of the most challenging tasks in the research design process is choosing the most appropriate data collection and analysis technique. This Handbook provides a detailed introduction to five qualitative data collection and analysis techniques pertinent to exploring entrepreneurial phenomena.Techniques for collecting and analyzing data are rarely addressed in detail in published articles. In addition, the constant development of new tools and refinement of existing ones has meant that researchers often face a confusing range from which to choose. The experienced and expert group of contributors to this book provide detailed, practical accounts of how to conduct research employing focus groups, critical incident technique, repertory grids, metaphors, the constant comparative method and grounded theory. This Handbook will become the starting point for any research project.Scholars new to entrepreneurship and doctoral students as well as established academics keen to extend their research scope will find this book an invaluable and timely resource.Contributors: A.R. Anderson, C. Bjursell, A. Bøllingtoft, E. Chell, E. Díaz de León, C. Dima, S. Drakopoulou Dodd, P. Guild, A. Hagedorn, R.T. Harrison, F.M. Hill, S.L. Jack, R.G. Klapper, A. de Koning, C.M. Leitch, E. McKeever, S. Moult, H. Neergaard, R. Newby, R. Smith, S.M. Smith, G. Soutar, J. WatsonTrade Review'This is a much-needed addition to research methods in entrepreneurship. This book champions valuable practices for studying entrepreneurial phenomena in rigorous ways. Five qualitative interview methods (constant comparative technique, metaphor methodologies, critical incident technique, focus groups and repertory grids) are grounded in prior theory and research, and demonstrated in specific research situations in ways that offer scholars insightful and important approaches to exploring entrepreneurship. This is a ''must buy'' for scholars who want to utilize better and more insightful methods for exploring the ideas, context and praxis of entrepreneurship.' --William B. Gartner, Copenhagen Business School, Denmark and California Lutheran University, US'This book will appeal to all researchers interested in qualitative research within the entrepreneurship field. The editors, Neergaard and Leitch, have put together a great group of experts who provide a fantastic overview on a wide range of known and lesser-known techniques. There is much to be discovered even for the experienced researcher. A great ''how to'' guide and a must-read for all qualitative entrepreneurship researchers, be they novices or experienced researchers.' --Friederike Welter, Institut fur Mittelstandsforschung (IfM) Bonn and University of Siegen, GermanyTable of ContentsContents: Introduction PART 1 AN INTRODUCTION TO THE CONSTANT COMPARATIVE TECHNIQUE Alistair R. Anderson and Sarah L. Jack 1. Using the Constant Comparative Technique to Consider Network Change and Evolution Sarah L. Jack, Alistair R. Anderson, Sarah Drakopoulou Dodd and Susan Moult 2. Using Constant Comparison as a Method of Analysis in Entrepreneurship Research Susan M. Smith and Edward McKeever 3. Grounded Theory Analysis in Entrepreneurship Research Anne Bøllingtoft The Future for the Constant Comparative Technique Alistair R. Anderson and Sarah L. Jack PART II METAPHOR METHODOLOGIES: EXPLORING ENTREPRENEURSHIP RESEARCH, PEDAGOGY AND RESEARCHERS Sarah Drakopoulou Dodd and Alice de Koning 4. Enacting, Experimenting and Exploring Metaphor Methodologies in Entrepreneurship Sarah Drakopoulou Dodd and Alice de Koning 5. Con’text’ualising Images of Enterprise: An Examination of ‘Visual Metaphors’ used to Represent Entrepreneurship in Textbooks Robert Smith 6. Metaphors in Communication of Scholarly Work Cecilia Bjursell Metaphor Methodologies in Entrepreneurship Research Sarah Drakopoulou Dodd and Alice de Koning SECTION III THE CRITICAL INCIDENT TECHNIQUE: AN OVERVIEW Claire M. Leitch 7. Researching the Entrepreneurial Process using the Critical Incident Technique Elizabeth Chell 8. The Efficacy of the Qualitative Variant of the Critical Incident Technique (CIT) in Entrepreneurship Research Claire M. Leitch and Frances M. Hill 9. A Critical Incident Technique Approach to Entrepreneurship Research using Phenomenological Explicative Data Collection Richard T. Harrison Critical Incident Technique: Some Conclusions Claire M. Leitch PART IV PROVENANCE AND USE OF FOCUS GROUPS John Watson and Rick Newby 10. Conducting a Traditional Focus Group John Watson, Rick Newby, Helle Neergaard and Robert Smith 11. Conducting a Focus Group using Group Support System (GSS) Software Geoff Soutar, Rick Newby and John Watson 12. Conducting an On-line Focus Group Rick Newby and John Watson Focus Groups: What have we Learned? John Watson and Rick Newby PART V REPERTORY GRIDS IN ENTREPRENEURSHIP: PRACTICAL EXAMPLES FROM RESEARCH Rita G. Klapper 17. Using Repertory Grid Technique to Explore the Relationship between Business Founders and Support Agents Anja Hagedorn 18. Using Repertory Grid to Assess Intangibles: Uncertainty Reduction for Lean Start-ups in Entrepreneurship Enrique Díaz de León and Paul Guild 19. Repertory Grid Technique: An Ideographic and Nomothetic Approach to Knowledge Carmen Dima 20. Concluding Thoughts on Repertory Grids Rita G. Klapper Index
£46.50
Kogan Page Ltd Excellence in People Analytics: How to Use
Book SynopsisEffectively and ethically leveraging people data to deliver real business value is what sets the best HR leaders and teams apart. Excellence in People Analytics provides business and human resources leaders with everything they need to know about creating value from people analytics. Written by two leading experts in the field, this practical guide outlines how to create sustainable business value with people analytics and develop a data-driven culture in HR. Most importantly, it allows HR professionals and business executives to translate their data into tangible actions to improve business performance, whilst navigating the rapidly evolving world of work. Full of practical tools and advice assembled around the Insight222 Nine Dimensions in People Analytics® model, this book demonstrates how to use people data to increase profits, improve staff retention and workplace productivity as well as develop individual employee experience. Featuring case studies from leading companies including Microsoft, HSBC, Syngenta, Capital One, Novartis, Bosch, Uber, Santander Brasil and American Eagle Outfitters®, Excellence in People Analytics is essential reading for all HR professionals needing to unlock the potential in their people data and gain competitive advantage.Trade Review"In this book, cutting-edge practitioners share insights that you can start putting into action right away."" * Adam Grant, #1 New York Times bestselling author of THINK AGAIN and host of the TED podcast, WorkLife *"Exceptional and the standard for people analytics" * Dave Ulrich, Rensis Likert Professor, School of Business, University of Michigan Partner, The RBL Group *"A superb book with practical case studies applicable to every HR professional and business leader in the use of data analytics towards better decision making."" * Low Peck Kem, Chief Human Resources Officer, Public Service Division, Prime Minister’s Office, Singapore *"Filled with topical case studies that can support any people analytics and HR team in their pursuit of creating enterprise value." * Loren I. Shuster, Chief People Officer & Head of Corporate Affairs, The LEGO Group *"HR is closer to the business than ever, and this book shows how people analytics is a business activity that drives substantial value." * Katarina Berg, Chief Human Resources Officer, Spotify *"There is a need for companies to become more human in our increasingly digital age. I have found, as a CHRO, that analytics provides equal benefit to both employees and the business, and Excellence in People Analytics dovetails these two very well. Using analytics is clearly one of the most valuable tools for becoming more human, enabling personalization and consumerisation of the employee experience." * Leena Nair Chief Human Resources Officer, Unilever *"People analytics provides business executives with another lever to improve their strategy and operations. Jonathan and David have a deep understanding of this topic and its impact on people and performance. Their work with companies across the globe is now captured in this book, providing insight with a collection of terrific case studies and practical advice. It is an outstanding guide for executives wishing to create value using people analytics." * John Boudreau, Professor Emeritus, Marshall School of Business, University of Southern California *"Excellence in People Analytics is a delightful journey of discovery through the field of people analytics with 30 vivid case studies and practical models. Businesses have recognized that workforce data can unleash the potential of talent and create value for the company. Yet people analytics is one of the biggest capability gaps for organizations. This book inspires me and is a great guide to implement people analytics beyond the 'buzz' term." * Rosa Lee, Executive Vice President of Bosch China & Corporate HR, Head of Asia-Pacific *"Excellence in People Analytics will equip HR leaders and practitioners with the structures and use cases they need to keep up with technology and learn new skills. I have little doubt that this book will define HR's contribution to the workplace of the future." * Bernard Marr, Bestselling author of Data Strategy and Data-Driven HR, futurist and strategic advisor *"Brilliantly insightful, yet practically impactful. This is a foundational book in the field of people analytics that emphasizes a business-first approach for elevating human performance. The nine dimensions for success are complemented with powerful cases that will empower any practitioner to apply these concepts." * Michael J. Arena, VP Talent & Development, AWS and author of Adaptive Space *Table of Contents Section - PART ONE: The case for people analytics; Chapter - 00: Introduction; Chapter - 000: The business value of people analytics; Section - PART TWO: Nine Dimensions for Excellence in People Analytics; Chapter - 01: Governance; Chapter - 02: Methodology; Chapter - 03: Stakeholder Management; Chapter - 04: Skills; Chapter - 05: Technology; Chapter - 06: Data; Chapter - 07: Workforce Experiences; Chapter - 08: Business Outcomes; Chapter - 09: Culture; Section - PART THREE: The next steps for people analytics; Chapter - 10: Transforming people analytics; Chapter - 11: Epilogue - the future of people analytics; Chapter - 12: Concluding remarks; Chapter - 13: Glossary; Chapter - 14: Index
£95.00
Kogan Page Ltd Confident Data Skills: How to Work with Data and
Book SynopsisData has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help. This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will help you use your new-found data skills to give your career that cutting-edge boost. About the Confident series... From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.Trade Review"The most comprehensive book I have seen for those wanting to get into data science - what Harvard Business Review called 'the sexiest job of the 21st century'." * Ben Taylor, Chief AI Evangelist, DataRobot *"Kirill Eremenko's book skilfully unravels the mysteries behind all the popular analytics tools and techniques, as well as many of the algorithms that power intelligent systems. I would recommend it to anyone who wants to pursue a career in data science. " * Dan Shiebler, Senior Machine Learning Engineer, Twitter Cortex *"Kirill Eremenko has come up with an amazing, unique way of making data science simple. From novices to the most experienced, anyone wanting to learn about data science will benefit from this book. Kirill covers everything from what data is and how to wrangle it, to helping you develop your own data analysis process, to effectively communicating with data. This book has it all! " * Andy Kriebel, Head Coach, The Information Lab Data School *"Eremenko is an established voice in the field, and his book is a must-read for anyone with an interest in using data science for business. Crammed with advice, Confident Data Skills provides the means to broaden one's horizons through data." * Michael Segala, CEO and Co-Founder, SFL Scientific *"Terrific. Eremenko has a knack for rendering complex theories in clear, elegant prose. Instructive and spirited, it will help you think - not only about the world around you but also about yourself." * Damian Mingle, Chief Data Scientist, Intermedix *Table of Contents Chapter - 00: Introduction; Section - ONE: "What is it?" key principles; Chapter - 01: Defining data; Chapter - 02: How data fulfils our needs; Chapter - 03: AI and our Future; Section - TWO: "When and where can I get it?" data gathering and analysis; Chapter - 04: Identify the problem; Chapter - 05: Data preparation; Chapter - 06: Data analysis (part I); Chapter - 07: Data analysis (part II); Section - THREE: "How can I present it?" communicating data; Chapter - 08: Data visualization; Chapter - 09: Data presentation; Chapter - 10: Your career in data science
£14.44
Kogan Page Ltd Confident Data Skills: How to Work with Data and
Book SynopsisData has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help. This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will help you use your new-found data skills to give your career that cutting-edge boost. About the Confident series... From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.Trade Review"The most comprehensive book I have seen for those wanting to get into data science - what Harvard Business Review called 'the sexiest job of the 21st century'." * Ben Taylor, Chief AI Evangelist, DataRobot *"Kirill Eremenko's book skilfully unravels the mysteries behind all the popular analytics tools and techniques, as well as many of the algorithms that power intelligent systems. I would recommend it to anyone who wants to pursue a career in data science. " * Dan Shiebler, Senior Machine Learning Engineer, Twitter Cortex *"Kirill Eremenko has come up with an amazing, unique way of making data science simple. From novices to the most experienced, anyone wanting to learn about data science will benefit from this book. Kirill covers everything from what data is and how to wrangle it, to helping you develop your own data analysis process, to effectively communicating with data. This book has it all! " * Andy Kriebel, Head Coach, The Information Lab Data School *"Eremenko is an established voice in the field, and his book is a must-read for anyone with an interest in using data science for business. Crammed with advice, Confident Data Skills provides the means to broaden one's horizons through data." * Michael Segala, CEO and Co-Founder, SFL Scientific *"Terrific. Eremenko has a knack for rendering complex theories in clear, elegant prose. Instructive and spirited, it will help you think - not only about the world around you but also about yourself." * Damian Mingle, Chief Data Scientist, Intermedix *Table of Contents Chapter - 00: Introduction; Section - ONE: "What is it?" key principles; Chapter - 01: Defining data; Chapter - 02: How data fulfils our needs; Chapter - 03: AI and our Future; Section - TWO: "When and where can I get it?" data gathering and analysis; Chapter - 04: Identify the problem; Chapter - 05: Data preparation; Chapter - 06: Data analysis (part I); Chapter - 07: Data analysis (part II); Section - THREE: "How can I present it?" communicating data; Chapter - 08: Data visualization; Chapter - 09: Data presentation; Chapter - 10: Your career in data science
£40.00
Kogan Page Ltd Driving Digital Transformation through Data and
Book SynopsisLeading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope. This book enables organizations to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. It provides executives with the essential tools and concepts to establish a data and AI portfolio strategy as well as the organizational setup and agile processes that are required to deliver machine learning products at scale. Key consideration is given to advancing the data architecture and governance, balancing stakeholder needs and breaking organizational silos through new ways of working. Each chapter includes templates, common pitfalls and global case studies covering industries such as insurance, fashion, consumer goods, finance, manufacturing and automotive. Covering a holistic perspective on strategy, technology, product and company culture, Driving Digital Transformation through Data and AI guides the organizational transformation required to get ahead in the age of AI.Trade Review"After years of progress in AI, might the hype be growing faster than the reality? Are we about to enter an 'AI autumn'? Not if Borek and Prill have anything to say about it! Digital transformation is tough - this book improves your odds." * Thomas C Redman, "the Data Doc", Harvard Business Review Blogger and Author *"Clear and to the point in a language that works for executives. A must-read for any leader." * Holger Kömm, Senior Director Advanced Analytics, Adidas *"A great in-depth introduction to how to add value to companies using digitalization, data and AI." * Patrick Glauner, Professor of Artificial Intelligence, Deggendorf Institute of Technology *"Provides great guidance on how to think of data products instead of projects - which is a key factor in mastering the challenges of digitalization." * Carsten Bange, Founder and CEO, BARC (Business Application Research Centre) *"A must-read for everyone involved into turning digitization and AI into real value for your company. Whether you're in the middle of the process looking for some orientation or just about getting started, this book will provide you with the advice you need!" * Alexander Thamm, CEO and Founder of Alexander Thamm GmbH *Table of Contents Chapter - 01: Introduction to delivering data and AI products; Chapter - 02: Developing the data and AI product strategy and goals; Chapter - 03: Setting up the data and AI product delivery organization; Chapter - 04: Identifying and defining data and AI products; Chapter - 05: Delivering high quality data and AI products; Chapter - 06: Designing the data and AI platform and architecture; Chapter - 07: Driving transformative change with data and AI products; Chapter - 08: The future of data and AI products in your organization
£30.39
Kogan Page Ltd Driving Digital Transformation through Data and
Book SynopsisLeading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope. This book enables organizations to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. It provides executives with the essential tools and concepts to establish a data and AI portfolio strategy as well as the organizational setup and agile processes that are required to deliver machine learning products at scale. Key consideration is given to advancing the data architecture and governance, balancing stakeholder needs and breaking organizational silos through new ways of working. Each chapter includes templates, common pitfalls and global case studies covering industries such as insurance, fashion, consumer goods, finance, manufacturing and automotive. Covering a holistic perspective on strategy, technology, product and company culture, Driving Digital Transformation through Data and AI guides the organizational transformation required to get ahead in the age of AI.Trade Review"After years of progress in AI, might the hype be growing faster than the reality? Are we about to enter an 'AI autumn'? Not if Borek and Prill have anything to say about it! Digital transformation is tough - this book improves your odds." * Thomas C Redman, "the Data Doc", Harvard Business Review Blogger and Author *"Clear and to the point in a language that works for executives. A must-read for any leader." * Holger Kömm, Senior Director Advanced Analytics, Adidas *"A great in-depth introduction to how to add value to companies using digitalization, data and AI." * Patrick Glauner, Professor of Artificial Intelligence, Deggendorf Institute of Technology *"Provides great guidance on how to think of data products instead of projects - which is a key factor in mastering the challenges of digitalization." * Carsten Bange, Founder and CEO, BARC (Business Application Research Centre) *"A must-read for everyone involved into turning digitization and AI into real value for your company. Whether you're in the middle of the process looking for some orientation or just about getting started, this book will provide you with the advice you need!" * Alexander Thamm, CEO and Founder of Alexander Thamm GmbH *Table of Contents Chapter - 01: Introduction to delivering data and AI products; Chapter - 02: Developing the data and AI product strategy and goals; Chapter - 03: Setting up the data and AI product delivery organization; Chapter - 04: Identifying and defining data and AI products; Chapter - 05: Delivering high quality data and AI products; Chapter - 06: Designing the data and AI platform and architecture; Chapter - 07: Driving transformative change with data and AI products; Chapter - 08: The future of data and AI products in your organization
£90.25
Edward Elgar Publishing Ltd Handbook of Spatial Analysis in the Social
Book SynopsisProviding an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences. The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability. This Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge.Trade Review‘Rey and Franklin introduce this new Handbook with an allusion to a rapidly changing landscape. And perhaps because any landscape, but especially a swiftly evolving one needs solid landmarks, this collection is a welcome addition to the literature that should appeal to any researchers in the social sciences working to learn the ropes of spatial analysis.’ -- Antonio Paez, McMaster University, Canada‘A comprehensive collection of chapters, carefully curated, spanning the current state of the art of spatial analysis in the social sciences written by established experts in the field ably accompanied by those creating the expertise of the future.’ -- Danny Dorling, Oxford University, UKTable of ContentsContents: Introduction: Spatial analysis and the social sciences in a rapidly changing landscape xi Sergio J. Rey and Rachel S. Franklin PART 1 THEORY, FRAMEWORKS AND FOUNDATIONS 1 GIScience through the looking glass 2 Barbara P. Buttenfield 2 Locating spatial data in the social sciences 16 Jonathan Reades 3 Analytical environments 36 Roger Bivand 4 Complexity 64 Li An 5 Linking spatial patterns to processes 85 Colin Robertson and Jed Long PART 2 METHODS 6 Spatial econometrics 101 Luc Anselin 7 Local modeling in a regression framework 123 Mehak Sachdeva, Taylor Oshan and A. Stewart Fotheringham 8 Simulating geographical systems using cellular automata and agent-based models 142 Alison Heppenstall, Andrew Crooks, Ed Manley and Nick Malleson 9 Microsimulation 158 Nik Lomax 10 Multilevel models 173 Richard Harris 11 Context-dependent movement analysis 187 Somayeh Dodge 12 Spatial interaction modeling 208 Taylor Oshan 13 Spatial optimization 223 Alan T. Murray 14 Cluster identification 245 Edward Helderop and Tony H. Grubesic 15 Spatial point patterns 262 Stuart Sweeney and Sophia Arabadjis 16 Spatial dynamics 277 Wei Kang 17 GeoAI in social science 291 Wenwen Li 18 Exploratory spatial data analysis 305 Ran Wei 19 Geovisualization and geovisual analysis 322 Alasdair Rae 20 Immersive virtual reality and spatial analysis 336 Trevor M. Harris 21 Spatiotemporal data mining 352 Arun Sharma, Zhe Jiang and Shashi Shekhar PART 3 APPLICATIONS 22 Neighborhood change 370 Elizabeth Delmelle 23 The spatial analysis of gentrification: Formalizing geography in models of a multidimensional urban process 384 Elijah Knaap 24 Social networks in space 400 Clio Andris and Dipto Sarkar 25 Analysing the dynamics of inter-regional inequality: The case of Canada 416 Sébastien Breau 26 Spatial approaches to energy poverty 434 Caitlin Robinson 27 The shape of bias: Understanding the relationship between compactness and bias in U.S. elections 451 Levi John Wolf 28 Space and New Urbanism 470 Emily Talen 29 Space for wellbeing 481 Victoria Houlden 30 Urban analytics: History, trajectory and critique 503 Geoff Boeing, Michael Batty, Shan Jiang and Lisa Schweitzer PART 4 EMERGING CHALLENGES AND ISSUES 31 Reproducibility and replicability in spatial science 518 Michael F. Goodchild 32 An image library: The potential of imagery in (quantitative) social sciences 528 Daniel Arribas-Bel, Francisco Rowe, Meixu Chen and Sam Comber 33 Uncertainty 544 David C. Folch Index 559
£231.80
Cognella, Inc Elementary Statistics: A Guide to Data Analysis
Book SynopsisElementary Statistics: A Guide to Data Analysis Using R provides students with an introduction to both the field of statistics and R, one of the most widely used languages for statistical computing, analysis, and graphing in a variety of fields, including the sciences, finance, banking, health care, e-commerce, and marketing.Part I provides an overview of both statistics and R. Part II focuses on descriptive statistics and probability. In Part III, students learn about discrete and continuous probability distributions with chapters addressing probability distributions, binominal probability distributions, and normal probability distributions. Part IV speaks to statistical inference with content covering confidence intervals, hypothesis testing, chi-square tests and F-distributions. The final part explores additional statistical inference and assumptions, including correlation, regression, and nonparametric statistics. Helpful appendices provide students with an index of terminology, an index of applications, a glossary of symbols, and a guide to the most common R commands.Elementary Statistics is an ideal resource for introductory courses in undergraduate statistics, graduate statistics, and data analysis across the disciplines.
£125.40
Edward Elgar Publishing Ltd How to Design, Implement, and Analyse a Survey
Book SynopsisThis insightful book examines all aspects of the design process and implementation of questionnaire surveys on the activities of business, public sector, and non-profit organizations. Anthony Arundel discusses how different aspects of the survey method and planned statistical analysis can constrain question design, and how these issues can be effectively resolved. Throughout this engaging yet practical book, Arundel promotes good practices for questionnaire design, sample construction, and survey delivery systems including online, postal, and verbal methods, with a focus on obtaining high-quality data in line with ethics and confidentiality requirements. Chapters include constructive advice on questionnaire design and testing, survey implementation, and data processing, analysis, and reporting, with examples of time and financial cost budgets. Considering the recent developments in survey methods, the book explores how to use web probing as a substitute for cognitive testing and examines the use of tablets and smartphones in answering questionnaires. Combining theoretical and practical insights into survey design, implementation, and data processing and analysis, this book will be essential reading for business and management scholars and students, with a particular interest in research methods and organization studies. It will also be useful for practitioners and business managers seeking to understand how to create and use surveys.Trade Review‘This book by Anthony Arundel is a must read for researchers or practitioners that plan to conduct a survey. In a very understandable and insightful way, Arundel takes the reader through the intricacies of each step involved in designing and implementing a high quality survey, from questionnaire testing and design to sampling, data processing, and analysis.’ -- Carter Bloch, CFA, Aarhus University, Denmark‘Anthony Arundel has experience from decades of statistical measurement, survey design, management, and analysis of survey outcomes. He knows what works and what does not, and this guide provides the reader with valuable and accessible information. Anyone who needs to understand survey design, and results, should read this book.’ -- Fred Gault, UNU-MERIT, the Netherlands and Tshwane University of Technology, South Africa‘This is a much-needed book. It provides a complete and detailed overview of all practical steps that are required for setting-up, executing, and analysing a survey of firms and other organizations. The clear and non-technical language makes the book highly accessible also to readers not experienced in survey techniques. Everyone planning to conduct a survey should consult this book.’ -- Christian Rammer, Centre for European Economic Research (ZEW), GermanyTable of ContentsContents: 1. Introduction 2. Survey fundamentals 3. Questionnaire design 4. Questionnaire testing 5. Survey implementation 6. Data processing activities 7. Data analysis and reporting 8. Conclusion References Annexes Index
£75.00
Edward Elgar Publishing Ltd Collaborative Inquiry for Organization
Book SynopsisThis practical book explores collaborative inquiry as an approach to research and change in organizations where internal members and external researchers work together as partners to address organizational issues and create knowledge about changing organizations.Taking a research-based approach, Abraham B. (Rami) Shani and David Coghlan analyze the challenges that participants face in building a partnership between researchers and practitioners throughout the phases of collaboration. Chapters explore how collaborative partners assess the organization's current and future capabilities by expressing the present and future in creative imagery and by making relevant changes in the organization to create that future. The book examines the theoretical foundations behind collaborative inquiry in addition to the methodologies of this approach to organization development and change.Mapping both the theory and practice of collaborative inquiry, this book will be a valuable resource for scholars and students of organization studies and research methods, particularly those with a focus on business and management. It will also be beneficial for practitioners interested in collaborative and action research modes.Trade Review‘This book is one of the best exemplars of showing how these two practices--research and helping--can inform each other constructively. This book is a welcome exploration of how these practices have enlarged our understanding of how human systems really work, how they must be studied, and how we can constructively intervene in them.’ -- - Edgar H. Schein, Professor Emeritus, MIT Sloan School of Management, US‘As scientists, we ask ourselves how we can contribute more to the amelioration of the most challenging issues of our time, such as global pandemics, climate change, social justice. Shani and Coghlan help us understand that there is a better way for science to influence decision makers. Collaborative inquiry is built to provide a scientific approach to change and Shani and Coghlan have been the masters of that approach for decades. This new book should be read by any scientist or leader who wants to make progress instead of just bemoaning the current state of affairs.’ -- - William A. (Bill) Pasmore, Professor of Practice, Colombia University, USTable of ContentsContents: Foreword 1 Massimo S. Brunelli Foreword 2 Michael Beer Preface 1. Introducing collaborative inquiry 2. Theoretical foundations 3. Methodology and methods of inquiry 4. Transformation and design 5. Phases, mechanisms and quality 6. The researcher, theorizing and opportunities Epilogue Afterword: Collaborative inquiry: takeaways and applications Philip H. Mirvis References Index
£69.35
Edward Elgar Publishing Ltd Handbook on the Politics and Governance of Big
Book SynopsisDrawing on the theoretical debates, practical applications, and sectoral approaches in the field, this ground-breaking Handbook unpacks the political and regulatory developments in AI and big data governance. Covering the political implications of big data and AI on international relations, as well as emerging initiatives for legal regulation, it provides an accessible overview of ongoing data science discourses in politics, law and governance.With novel insights into existing and emerging debates, this cutting-edge Handbook highlights the mutual effects of big data and AI on society. Amongst other theoretical and sectoral issues, chapters analyse the liability of AI use in autonomous weapons, the role of big data in healthcare and education, the intersections between AI and gender in human rights law, and the ethics of public facial-recognition technology. Addressing the many open questions and future regulatory problems, it uses data science to investigate the dynamics between the technical aspects, societal dynamics and governance implications of big data and AI.Transdisciplinary in scope, this Handbook will be invaluable to students and researchers across the fields of politics, law, governance and data science, alongside policymakers concerned with the regulation and governance of AI and big data in public and private institutions.Trade Review‘Zwitter and Gstrein have astutely brought together an impressive collection of chapters that address key themes in the politics and governance of AI and big data. From social justice and gender to privacy and rights, the Handbook provides a solid introduction to key debates and their implications for societies.’ -- Evelyn Ruppert, Goldsmiths, University of London, UK‘This volume succeeds in bringing together a wide ranging collection of original studies in a field that is as fast developing as it is important to keep track of. The reader who is interested in normative political and governance perspectives on AI and big data will find insightful analyses and well-informed discussions of the key problems of regulation and policy making in a digital age.’ -- Jeroen van den Hoven, Delft University of Technology, the NetherlandsTable of ContentsContents: Foreword xiii PART I INTRODUCTION Introduction to the Handbook on the Politics and Governance of Big Data and Artificial Intelligence 2 Andrej Zwitter and Oskar J. Gstrein PART II CONCEPTUAL PERSPECTIVES 1 Can AI governance be progressive? Group interests, group privacy and abnormal justice 19 Linnet Taylor 2 Big Data and the humanitarian sector: emerging trends and persistent challenges 41 Susanne Schmuck, Andrej Zwitter and Oskar J. Gstrein 3 Digital twins: potentials, ethical issues and limitations 64 Dirk Helbing and Javier Argota Sánchez-Vaquerizo 4 Governing Digital Twin technology for smart and sustainable tourism: a case study in applying a documentation framework for architecture decisions 105 Eko Rahmadian, Daniel Feitosa and Andrej Zwitter PART III PRINCIPLE-BASED APPROACHES TO THE GOVERNANCE OF BIG DATA AND AI 5 Digital transitional justice: unpacking the black box 139 Christopher K. Lamont and Medlir Mema 6 Autonomous weaponry and IR theory: conflict and cooperation in the age of AI 167 Amelia Hadfield and Alex Leveringhaus 7 Understanding emergent technology, instability and power in international political economy 188 Malcolm Campbell-Verduyn 8 Governance of AI and gender: building on International Human Rights Law and relevant regional frameworks 211 Elizabeth Coombs and Halefom Abraha PART IV SECTORAL APPROACHES TO THE GOVERNANCE OF BIG DATA AND AI 9 Better technological security solutions through human-centred design and development 245 Andrew B. Wootton, Caroline L. Davey, Dagmar Heinrich and Maximilian Querbach 10 On the governance of privacy-preserving systems for the web: should Privacy Sandbox be governed? 279 Lukasz Olejnik 11 Experiments with facial recognition technologies in public spaces: in search of an EU governance framework 315 Catherine Jasserand 12 Big Data, AI and health data: between national, European, and international legal frameworks 358 Nikolaus Forgó, Emily Johnson, Iana Kazeeva and Elisabeth Steindl 13 Governing the ‘datafied’ school: bridging the divergence between universal education and student autonomy 395 Theresa Henne and Oskar J. Gstrein PART V AUTONOMOUS SYSTEMS, RIGHTS AND DUTIES 14 Artificial Intelligence and international human rights law: implications for humans and technology in the 21st century and beyond 430 Joshua C. Gellers and David J. Gunkel 15 Challenges posed by autonomous systems to liability regimes: finding a balance 456 Nynke E. Vellinga 16 Autonomous Weapons Systems in warfare: is Meaningful Human Control enough? 476 Taís Fernanda Blauth Index 504
£175.75
Edward Elgar Publishing Ltd Handbook of Big Data Research Methods
Book SynopsisThis state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.Trade Review‘Big data research methods have gained dramatic momentum in the world. Researchers and practitioners extend this line of research constantly by producing journals, posts, news articles and podcasts. However, there is a paucity of a book that covers descriptive, diagnostic, predictive and prescriptive method-based research papers under one umbrella. This is one of those books which will immerse a reader in the past, present and future of big data analytics methods. It is an exceptional book that is grounded in evidence and meaningful to practice.’ -- Yogesh K. Dwivedi, Swansea University, UKTable of ContentsContents: 1 Introduction to the Handbook of Big Data Research Methods 1 Shahriar Akter, Samuel Fosso Wamba, Shahriar Sajib and Sahadat Hossain 2 Big data research methods in financial prediction 11 Md Lutfur Rahman and Shah Miah 3 Big data, data analytics and artificial intelligence in accounting: an overview 32 Sudipta Bose, Sajal Kumar Dey and Swadip Bhattacharjee 4 The benefits of marketing analytics and challenges 52 Madiha Farooqui 5 How big data analytics will transform the future of fashion retailing 72 Niloofar Ahmadzadeh Kandi 6 Descriptive analytics and data visualization in e-commerce 86 P.S. Varsha and Anjan Karan 7 Application of big data Bayesian interrupted time-series modeling for intervention analysis 105 Neha Chaudhuri and Kevin Carillo 8 How predictive analytics can empower your decision making 117 Nadia Nazir Awan 9 Gaussian process classification for psychophysical detection tasks in multiple populations (wide big data) using transfer learning 128 Hossana Twinomurinzi and Hermanus C. Myburgh 10 Predictive analytics for machine learning and deep learning 148 Tahajjat Begum 11 Building a successful data science ecosystem using public cloud 165 Mohammad Mahmudul Haque 12 How HR analytics can leverage big data to minimise employees’ exploitation and promote their welfare for sustainable competitive advantage 179 Kumar Biswas, Sneh Bhardwaj and Sawlat Zaman 13 Embracing Data-Driven Analytics (DDA) in human resource management to measure the organization performance 195 P.S. Varsha and S. Nithya Shree 14 A process framework for big data research: social network analysis using design science 214 Denis Dennehy, Samrat Gupta and John Oredo 15 Notre-Dame de Paris cathedral is burning: let’s turn to Twitter 233 Serge Nyawa, Dieudonné Tchuente and Samuel Fosso Wamba 16 Does personal data protection matter in data protection law? A transformational model to fit in the digital era 266 Gowri Harinath 17 The future of AI-based CRM 278 Khadija Alnofeli, Shahriar Akter and Venkata Yanamandram 18 Descriptive analytics methods in big data: a systematic literature review 294 Nilupulee Liyanagamage and Mario Fernando Index
£171.00
Emerald Publishing Limited The Development of Open Government Data:
Book SynopsisOpen government data (OGD) has developed rapidly in recent years due to various benefits that can be derived through transparency and public access. However, researchers emphasize a lack of use instead of lack of disclosure as a key problem in OGD’s present development. Previous studies have approached this issue either from the supply-side, focusing on data quantity and quality, or from the demand-side, focusing on factors that affect users’ acceptance of OGD, but seldom consider both sides at the same time. This unique study compares the supply and demand sides of OGD and explores possible directions for the future development of OGD portals based on the discovered mismatches between the two. The authors improve OGD utilization by balancing the supply-side and demand-side according to citizens’ demands through OGD portals. Based on the concept of an OGD ecosystem, four connected studies are explored. The first study built an evaluation framework for understanding the development of the OGD supply-side. The second study focuses on a survey conducted to analyze the awareness and utilization of OGD portals by citizens, who are the primary users and major beneficiaries of OGD on the demand-side. A third study compares the supply and demand sides based on Diffusion of Innovation theory. A final study tests the proposed usability criteria for building an OGD portal by carrying out a between-subjects experiment including a virtual agent. Each case study examines a unique aspect of OGD in China, and also offers reflections on future directions for developing OGD. Providing a unique and enhanced theoretical and practical understanding of OGD and its usage, as well as proposing directions for OGD portals’ future development in order to encourage citizens’ OGD utilization, this is a must-read for researchers and policymakers examining the impact and possibilities of OGD.Table of ContentsChapter 1. Introduction Chapter 2. Key Concepts & Literature Review Chapter 3. An Evaluation of the Supply-Side of OGD Chapter 4. Understanding citizens’ demands for OGD and OGD utilization Chapter 5. A comparison of the supply-side and demand-side of OGD portals Chapter 6. The usability of OGD portals Chapter 7. Citizens’ acceptance and utilization of OGD portals: An experiment using a virtual agent Chapter 8. Discussion Chapter 9. Conclusion Appendix A. Complete Survey for Stage 2 Appendix B. Dialogues of the Virtual Agent for Stage 4 Appendix C. Complete Instruments for Stage 4
£75.04
Peter Lang International Academic Publishers Mastering Data Collection Tools and Instruments
Book SynopsisMastering Data Collection Tools and Instruments: A Simplified Guide equips novices and experts with essential skills for effective data collection. Covering tools, ethical insights, and technology, it bridges theory and practice, ensuring your data-driven decisions are rigorous, ethical, and impactful in research and policy-making.
£54.00
Edward Elgar Publishing Ltd Collaborative Inquiry for Organization
Book SynopsisThis practical book explores collaborative inquiry as an approach to research and change in organizations where internal members and external researchers work together as partners to address organizational issues and create knowledge about changing organizations.Taking a research-based approach, Abraham B. (Rami) Shani and David Coghlan analyze the challenges that participants face in building a partnership between researchers and practitioners throughout the phases of collaboration. Chapters explore how collaborative partners assess the organization's current and future capabilities by expressing the present and future in creative imagery and by making relevant changes in the organization to create that future. The book examines the theoretical foundations behind collaborative inquiry in addition to the methodologies of this approach to organization development and change.Mapping both the theory and practice of collaborative inquiry, this book will be a valuable resource for scholars and students of organization studies and research methods, particularly those with a focus on business and management. It will also be beneficial for practitioners interested in collaborative and action research modes.Trade Review‘This book is one of the best exemplars of showing how these two practices--research and helping--can inform each other constructively. This book is a welcome exploration of how these practices have enlarged our understanding of how human systems really work, how they must be studied, and how we can constructively intervene in them.’ -- - Edgar H. Schein, Professor Emeritus, MIT Sloan School of Management, US‘As scientists, we ask ourselves how we can contribute more to the amelioration of the most challenging issues of our time, such as global pandemics, climate change, social justice. Shani and Coghlan help us understand that there is a better way for science to influence decision makers. Collaborative inquiry is built to provide a scientific approach to change and Shani and Coghlan have been the masters of that approach for decades. This new book should be read by any scientist or leader who wants to make progress instead of just bemoaning the current state of affairs.’ -- - William A. (Bill) Pasmore, Professor of Practice, Colombia University, USTable of ContentsContents: Foreword 1 Massimo S. Brunelli Foreword 2 Michael Beer Preface 1. Introducing collaborative inquiry 2. Theoretical foundations 3. Methodology and methods of inquiry 4. Transformation and design 5. Phases, mechanisms and quality 6. The researcher, theorizing and opportunities Epilogue Afterword: Collaborative inquiry: takeaways and applications Philip H. Mirvis References Index
£22.75
Edward Elgar Publishing Ltd Taking the Fear Out of Data Analysis: Completely
Book SynopsisTaking the Fear Out of Data Analysis provides readers with the necessary knowledge and skills to understand, perform, and interpret quantitative data analysis effectively. Acknowledging that people often dislike statistics and quantitative methods, this book illustrates that statistical reasoning can be a fun and intuitive part of our lives.Key Features: Split into three sections covering how to understand data, preparing data for analysis and carrying out the analysis Blends theory with practical examples in a logical and straightforward manner to guide readers in making sense of statistical inference Offers universal knowledge that can be applied to a variety of software applications with limited technical complexity to aid the learning process Short and concise chapters focusing on the essence of the topics covered, such as analytical techniques that are typically used in behavioral and social science research Significantly revised and updated, this textbook is an essential text for both undergraduate and postgraduate students in fields such as information systems, international business and marketing. It will also be beneficial for practitioners involved in data science, data analytics, and market research.Trade Review‘Written with wry wit and incredible clarity, the authors provide the reader with a detailed understanding of seminal issues in data analysis. A masterful work that truly does “take the fear out of data analysis” – this book is a rare treat indeed.’ -- David A. Griffith, Mays Business School, Texas A&M University, US‘Written by a proficient team of authors, Taking the Fear out of Data Analysis is a fascinating … ah, forget the marketing blurb. This is a great text, you should read it! There is no doubt that you will devour this book in no time and learn a lot about statistics on the way.' -- Marko Sarstedt, Ludwig-Maximilians-University (LMU), Germany‘Statistics. I know – you hate it. It’s hard and confusing. Students of all levels find the topic hard. I tell them to get this book. And no! They cannot borrow mine, I don’t want to lose it. Diamantopoulos, Schlegelmilch and Halkias knock another one out of the park with this excellent introduction to a great array of statistical issues. They start right at the beginning – which is always a good place to start if you’re a beginner – and gently, often hilariously, and successfully guide the reader through the various learning moments that need to be negotiated if one is to become fearless in the face of columns of data. Priceless.’ -- John Cadogan, School of Business and Economics, Loughborough University, UK‘The new edition of this book provides excellent guidance to data knowledge and competence using a problem-solving approach. With the digital becoming increasingly important, analytical skills should be key competencies in everybody’s daily life. To achieve this goal, Taking the Fear out of Data Analysis is highly recommended.’ -- Zhongming Wang, Zhejiang University, China‘The significantly extended, new edition is increasingly relevant as the world of quantitative methods has kept on expanding, in part due to an explosion in software programs that scholars can use seemingly without much understanding. Do not let the light-hearted nature of this book fool you. It is a statistics book that carefully leads authors through all the necessary stages of analysis. It effortlessly explains the analysis details and assumptions that PhD examiners, journal reviewers, and conference presentation audience members insist on raising. This excellent new edition is destined to be very well thumbed.’ -- Matthew Robson, Cardiff Business School, UKTable of ContentsContents: Pre-publication reviews from around the world Introduction to Taking the Fear out of Data Analysis PART I UNDERSTANDING DATA 1. What is data (and can you do it in your sleep)? 2. Does sampling have a purpose other than providing employment for statisticians? 3. Why should you be concerned about different types of measurement? PART II PREPARING DATA FOR ANALYSIS 4. Have you cleaned your data and found the mistakes you made? 5. Why do you need to know your objective before you fail to achieve it? PART III CARRYING OUT THE ANALYSIS 6. Why not take it easy initially and describe your data? 7. Can you use few numbers in place of many to summarize your data? 8. What about using estimation to see what the population looks like? 9. How about sitting back and hypothesizing? 10. Simple things first: One variable, one sample 11. Getting experienced: Making comparisons 12. Getting adventurous: Searching for relationships 13. Getting hooked: A look into multivariate analysis 14. Getting obsessed: A further look into multivariate analysis 15 It’s all over … or is it? Index
£104.50
Ethics International Press Ltd Ethical Reasoning for a Data-Centered World
Book SynopsisThe American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines. Ethical Reasoning For A Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in team work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.
£999.99
Transworld Making Numbers Count
Book Synopsis''Concise, breezy and pragmatic'' Wall Street Journal''Remarkably practical techniques for comprehending and communicating the maths that really matters' Adam GrantUntil very recently, most languages had no words for numbers greater than five anything from six to infinity was known as ''lots''. Understanding numbers is essential in the modern world, but we simply aren't built to understand them.What does 5GB of storage actually mean? (Two months of commutes, without repeating a song.)What's the size of a nucleus compared to a cell? (Imagine a bee in a cathedral.)How much bigger is a billion than a million? (Well, a million seconds is twelve days. A billion seconds isthirty-two years.)Drawing on years of research into making ideas stick, Chip Heath and Karla Starr outline six critical principles that will give anyone the tools to understand and communicate numbers with more transparency and meaning. Offering
£11.69
Troubador Publishing Present Sense: A Practical Guide to the Science
Book SynopsisIn this provocative yet practical guidebook Steve Morlidge demonstrates why the approach and methods of performance reporting that all information professionals have been taught fails, and what we need to do differently to help us make sense of the dynamic, complex and data rich world in which we now live and work. Reporting on performance should not be treated as worthy but dull, requiring no more than routine comparisons of actual against targets. This traditional approach is based on the false premise organisations can be managed as if they were a simple mechanical system operating in a predictable environment. And the methods associated with it, such as variance analyses and data tables that are used to measure and communicate performance, are completely inadequate. Instead, Morlidge argues performance reporting should be reconceived as an act of perception conducted on behalf of the organisation, helping to make sense of the sensory inputs (data) that it has at its disposal. And to do so effectively performance reporters need to learn from and exploit the strengths of our own brains, compensate for its weaknesses and communicate in a way that makes it easy for their audience’s brains to assimilate. Drawing on the latest insights from cognitive science in this book you will learn: • how to bring a dynamic perspective into performance reporting • how to deploy a set of simple tools to help speared the signal from the noise inherent in large data sets and to make sound inferences • how to set goals intelligently • about the grammar of data visualization and how use it to design powerful and simple reports In this way information professionals are uniquely charged with the responsibility for creating the shared consciousness that is a prerequisite for organisations to effectively respond and adapt to their environments.
£24.00
Zaffre The Love Algorithm: The perfect witty romcom, new
Book Synopsis'A superb romcom, with relatable and loveable characters that literally burst from the pages. With laugh-out-loud moments, woven between a heartwarming and hopeful story, it charmed me from the first page'Carmel HarringtonTrue love is only just a swipe away? Right?Iris lives by numbers. The only thing missing from her perfectly calibrated life is a partner - and not for lack of trying. After decades of disappointment, Iris practically has a PhD in online dating. But something still eludes her: that unquantifiable spark.Kim is too busy being the life of the party to look for love. Her terrible dates make great stories for her friends and co-workers, as long as she's not caught by her tyrannical boss, Iris.Connie, Kim's recently widowed mum, is single for the first time since the 1970s. The dating game has changed a lot since her day . . .Sick of being let down, Iris takes matters into her own hands - using her analytical skills to create the first real formula for love. With Kim and Connie on board, they launch Analyzed, a dating app like no other.As Analyzed takes the world by storm, are the three women in over their heads? Is love really just a numbers game?'A laugh on every page, entirely empathetic characters and a warm heart in the middle of the story. I found this book highly entertaining and totally satisfying' Liz NugentPraise for Claudia Carroll:'Brilliantly funny' Sun'An immensely talented writer' Sinéad Moriarty'Brilliant' BellaTrade ReviewA superb romcom, with relatable and loveable characters that literally burst from the pages. With laugh-out-loud moments, woven between a heartwarming and hopeful story, it charmed me from the first page. In short, I couldn't put it down, the perfect summer read! * Carmel Harrington *A laugh on every page, entirely empathetic characters and a warm heart in the middle of the story. I found this book highly entertaining and totally satisfying * Liz Nugent *
£12.59
Edward Elgar Publishing Ltd Elgar Encyclopedia of Law and Data Science
Book SynopsisThe Elgar Encyclopedia of Law and Data Science represents a comprehensive mapping of the field. Comprising over 60 entries, it features contributions from eminent global scholars, drawing on expertise from multiple disciplines, including law and data science, economics, computer engineering, physics, biomedical engineering and history, philosophy, neuro-engineering, political science, and geo-informatics.This Encyclopedia brings together jurists, computer scientists, and data analysts to uncover the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.Comprehensive yet accessible, this Encyclopedia will be an indispensable resource for scholars of law, data science, artificial intelligence and law and technology. It also contains practical implications for a manifold of users: from domain experts to policy makers, from businesses to practitioners.Key Features: The first Encyclopedic coverage of the field of Law and Data Science Over 60 entries Entries organized alphabetically for ease of reference Full analytical index Interrelated multidisciplinary perspectives Unique accessibility for non-experts. Table of ContentsContents: Introduction to the Encyclopedia of Law and Data Science: ‘Directions for Use’ ix Giovanni Comand. 1 Access 1 Giulia Schneider 2 Accountability 7 Giulia Schneider 3 Algorithm 12 Letizia Milli and Giulio Rossetti 4 Algorithmic Discrimination 17 Bettina Berendt 5 Algorithmic Fairness 32 Salvatore Ruggieri 6 Anonymity 36 Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi 7 Anonymous Data 41 Lorenzo Dalla Corte 8 Argument Mining 48 Vern R. Walker 9 Artificial General Intelligence 53 Bettina Berendt 10 Bias [definition] 60 Antonio Davola 11 Children (in the Digital Environment) 64 Denise Amram 12 Clustering (see Data Mining and Clustering) 70 13 Computer Programs 70 Guido Noto La Diega 14 Confidentiality 73 Arianna Rossi, Itzel Vazquez Sandoval, Gabriele Lenzini 15 Consent 81 Cesare Bartolini 16 Copyright 83 Caterina Sganga 17 Cybersecurity (in Distributed Computing Systems) 92 Tommaso Cucinotta 18 Database Protection 98 Caterina Sganga 19 Data Breach 105 Anna Monreale, Roberto Pellungrini, Francesca Pratesi 20 Data Mining and Clustering 110 Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis 21 Data Protection 122 Cesare Bartolini 22 Data Protection Impact Assessment 125 Anna Monreale, Roberto Pellungrini, Francesca Pratesi 23 Data Quality 130 Michela Natilli, Salvatore Rinzivillo, Franco Turini 24 Data Subject 134 Gloria Gonz.lez Fuster 25 Decision-making 139 Gianclaudio Malgieri 26 Discrimination Data Analysis 142 Salvatore Ruggieri 27 Disparate Impact (from Software-Based Decision-Making Systems) 146 Jeanna Neefe Matthews 28 Erasure 150 Cesare Bartolini 29 Ethics 153 Giorgia Pozzi and Juan M. Dur.n 30 Explainability 160 Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi 31 Fairness 168 Giulia Schneider 32 Forgotten (Right to Be) 175 Paul De Hert and Vagelis Papakonstantinou 33 Freedom of Information (Freedom of Expression – Access to Public Data) 181 Matteo Monti 34 Governance (of Personal Data Flows) 186 Denise Amram 35 Healthcare (Data Science in) 192 Martina Finocchiaro, Tommaso Banfi, Matteo Vissani, Alberto Mazzoni, Gastone Ciuti 36 Informed Consent 199 Danielle da Costa Leite Borges 37 Lawfulness and Necessity (of Possible Limitations on the Fundamental Rights to Privacy and to the Protection of Personal Data) in the EU Legal Order 203 Mario Guglielmetti 38 Legitimate Interest 209 Christopher F. Mondschein and Cosimo Monda 39 Liability 215 Andrea Parziale 40 Machine Learning 223 Luca Pappalardo 41 Mobility Data (Knowledge Discovery from) 227 Agnese Bonavita and Giovanni Comand. 42 Necessity (see Lawfulness and Necessity (of Possible Limitations on the Fundamental Rights to Privacy and to the Protection of Personal Data) in the EU Legal Order) 241 43 Open Data and Public Sector Information 241 Lorenzo Dalla Corte and Bastiaan van Loenen 44 Patents 253 Enrico Bonadio and Hannes Sigurgeirsson 45 Personal Data in the EU Legal System 259 Lorenzo Dalla Corte 46 Portability (of Data) 267 Gianclaudio Malgieri 47 Predictive Analytics 271 Mirco Nanni 48 Privacy 275 Carlotta Rigotti and Alessandra Calvi 49 Privacy by Design 281 Marina Sokolova and Stan Matwin 50 Privacy-Preserving Technologies 291 Josep Domingo-Ferrer 51 Profile/Profiling 300 Salvatore Ruggieri 52 Proportionality 305 Giuseppe Martinico 53 Pseudonymization 310 Anna Monreale, Roberto Pellungrini, Francesca Pratesi 54 Public Interest (Scientific Research and the Legal Grounds) 314 Hanne Elsen, Wessel Damen, Audrey Van Scharen 55 Public Sector Information (see Open Data and Public Sector Information) 318 56 Reasonable Safeguards 318 Andr.s Chomczyk Penedo 57 Scoring 323 Frank Pasquale 58 Software (Computer Programs) 326 Guido Noto La Diega 59 Supervisory Authorities (Powers) 329 Roberto Lattanzi 60 Surveillance 341 Juraj Sajfert 61 Trade Secrets and Data-Driven Innovation in the EU 347 Silvia Scalzini 62 Transparency 354 Giulia Schneider 63 Unfairness [definition] 360 Antonio Davola 64 Vulnerability 363 Gianclaudio Malgieri Analytical index 371 Index
£182.40
Vintage Publishing 99 Maps to Save the Planet: With an introduction
Book Synopsis'Terrifying yet funny, surprising yet predictable, simple yet poignant' Chris PackhamA shocking but informative, eye-catching and witty book of maps that illustrate the perilous state of our planet.The maps in this book are often shocking, sometimes amusing, and packed with essential information:· Did you know that just 67 companies worldwide are responsible for 67 per cent of global greenhouse emissions? · Or that keeping a horse has the same carbon footprint as a 23,500-kilometre road trip? · Did you know how many countries use less energy than is consumed globally by downloading porn from the internet?· Do you know how much of the earth's surface has been concreted over?· Or how many trees would we have to plant to make our planet carbon-neutral?Presenting a wealth of innovative scientific research and data in stunning, beautiful infographics, 99 Maps to Save the Planet provides us with instant snapshots of the destruction of our environment. At one glance, we can see the precarious state of our planet - but also realise how easy it would be to improve it Enlightening, a bit frightening, but definitely inspiring, 99 Maps to Save the Planet doesn't provide practical tips on how to save our planet: it just presents the facts. And the facts speak for themselves. Once we know them, what excuse do we have for failing to act?Trade ReviewYou'll never look at the fight for our common home in the same way again after seeing the images in this remarkable book * Big Issue *Impressively imaginative and effectively alarming * Wanderlust *Terrifying yet funny, surprising yet predictable, simple yet poignant -- Chris Packham
£15.29
ISTE Ltd and John Wiley & Sons Inc Data Analysis
Book SynopsisThe first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.Trade Review"The first part of this book is devoted to methods seeking relevantdimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data." (Zentralblatt MATH 2016)Table of ContentsPreface xiii Chapter 1. Principal Component Analysis: Application to Statistical Process Control 1 Gilbert SAPORTA, Ndèye NIANG 1.1. Introduction 1 1.2. Data table and related subspaces 2 1.3. Principal component analysis 8 1.4. Interpretation of PCA results 11 1.5. Application to statistical process control 18 1.6. Conclusion 22 1.7. Bibliography 23 Chapter 2. Correspondence Analysis: Extensions and Applications to the Statistical Analysis of Sensory Data 25 Jérôme PAGÈS 2.1. Correspondence analysis 25 2.2. Multiple correspondence analysis 39 2.3. An example of application at the crossroads of CA and MCA 50 2.4. Conclusion: two other extensions 63 2.5. Bibliography 64 Chapter 3. Exploratory Projection Pursuit 67 Henri CAUSSINUS, Anne RUIZ-GAZEN 3.1. Introduction 67 3.2. General principles 68 3.3. Some indexes of interest: presentation and use 71 3.4. Generalized principal component analysis 76 3.5. Example 81 3.6. Further topics 86 3.7. Bibliography 89 Chapter 4. The Analysis of Proximity Data 93 Gerard D’AUBIGNY 4.1. Introduction 93 4.2. Representation of proximity data in a metric space 97 4.3. Isometric embedding and projection 103 4.4. Multidimensional scaling and approximation 108 4.5. Afielded application 122 4.6. Bibliography 139 Chapter 5. Statistical Modeling of Functional Data 149 Philippe BESSE, Hervé CARDOT 5.1. Introduction 149 5.2. Functional framework152 5.3. Principal components analysis 156 5.4. Linear regression models and extensions 161 5.5. Forecasting 169 5.6. Concluding remarks 176 5.7. Bibliography 177 Chapter 6. Discriminant Analysis 181 Gilles CELEUX 6.1. Introduction 181 6.2. Main steps in supervised classification 182 6.3. Standard methods in supervised classification 190 6.4. Recent advances 204 6.5. Conclusion 211 6.6. Bibliography 212 Chapter 7. Cluster Analysis 215 Mohamed NADIF, Gérard GOVAERT 7.1. Introduction 215 7.2. General principles 217 7.3. Hierarchical clustering 224 7.4. Partitional clustering: the k-means algorithm 233 7.5. Miscellaneous clustering methods 239 7.6. Block clustering 245 7.7. Conclusion 251 7.8. Bibliography 251 Chapter 8. Clustering and the Mixture Model 257 Gérard GOVAERT 8.1. Probabilistic approaches in cluster analysis 257 8.2. The mixture model 261 8.3. EM algorithm 263 8.4. Clustering and the mixture model 267 8.5.Gaussian mixture model 271 8.6. Binary variables 275 8.7. Qualitative variables 279 8.8. Implementation 282 8.9. Conclusion 284 8.10. Bibliography 284 Chapter 9. Spatial Data Clustering 289 Christophe AMBROISE, Mo DANG 9.1. Introduction 289 9.2. Non-probabilistic approaches 293 9.3. Markov random fields as models 295 9.4. Estimating the parameters for a Markov field 305 9.5. Application to numerical ecology 313 9.6. Bibliography 316 List of Authors 319 Index 323
£145.30
Imperial College Press Statistical Aspects Of The Design And Analysis Of
Book SynopsisFully updated, this revised edition describes the statistical aspects of both the design and analysis of trials, with particular emphasis on the more recent methods of analysis.About 8000 clinical trials are undertaken annually in all areas of medicine, from the treatment of acne to the prevention of cancer. Correct interpretation of the data from such trials depends largely on adequate design and on performing the appropriate statistical analyses. This book provides a useful guide to medical statisticians and others faced with the often difficult problems of designing and analysing clinical trials.Trade Review"... given a keen amateur interest and an ability to skip the occasional rather daunting-looking equation this book is surprisingly accessible ... There's an introductory chapter containing an excellent historical overview." Transactions of Royal Society of Tropical Medicine and Hygiene "In providing a concise description of the statistical aspects of the design and analysis of clinical trials, free of any major typographical errors, the authors have succeeded. Those concerned with the correct design and analysis of clinical trials, but wishing to avoid either the advanced theoretical aspects or too much focus on application of methodologies, will find this book to be very accessible with relatively up-to-date references." Pharmaceutical Statistics
£110.70
LID Publishing The Fifth Phase: An insight-driven approach to
Book SynopsisThe connected world offers the potential for radical new business insights gleaned from previously unimaginable volumes of data. But business has got bogged down in the process of collecting and storing that data; money has been wasted on data lakes in which many IT departments have drowned without being able to deliver useful insights to business leaders. Big data has new and exciting answers to offer, but business leaders must first decide what questions it would like to see answered. Data may be the new oil, but to date we have only built oil depots. This book analyses the new, Fourth Wave of business transformation, which will build the refineries that turn data into useful products. Business has started from 'data up' and needs to start again from 'value down', going back to the drivers of real business value and deciding what insights would help realize that value. Only then can we begin to interrogate data with purpose.
£11.99
Springer Nature Switzerland AG Learning Analytics Cookbook: How to Support Learning Processes Through Data Analytics and Visualization
Book SynopsisThis book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios.
£49.49
Springer Nature Switzerland AG Financial Data Analytics: Theory and Application
Book SynopsisThis book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization.This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics. Table of ContentsPART 1. INTRODUCTION AND ANALYTICS MODELS.- Retraining and Reskilling Financial Participators in the Digital Age.- Basics of Financial Data Analytics.- Predictive Analytics Techniques: Theory and Applications in Finance.- Prescriptive Analytics Techniques: Theory and Applications in Finance.- Forecasting Returns of Crypto Currency - Analyzing Robustness of Auto Regressive and Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANNS).- PART 2. MACHINE LEARNING.- Machine Learning in Financial Markets: Dimension Reduction and Support Vector Machine.- Pruned Random Forests for Effective and Efficient Financial Data Analytics.- Foreign Currency Exchange Rate Prediction Using Long Short Term Memory.- Natural Language Processing (NLP) for Exploring Culture in Finance: Theory and Applications.- PART 3. TECHNOLOGY DRIVEN FINANCE.- Financial Networks: A Review of Models and the Use of Network Similarities.- Optimization of Regulatory Economic-Capital Structured Portfolios: Modeling Algorithms, Financial Data Analytics and Reinforcement Machine Learning in Emerging Markets.- Transforming Insurance Business with Data Science.- A General Cyber Hygiene Approach for Financial Analytical Environment.
£132.99
De Gruyter Leading by Weak Signals: Using Small Data to
Book SynopsisMaster complex problems and face radical uncertainty by unleashing the power of small data Is your business using data to its optimum potential? In complicated well-structured problem situations, executives rely on Big Data. However, when faced with complexity and uncertainty they are challenged to skillfully handle Small Data. Leading by Weak Signals argues that impending dangers, new business opportunities or innovative ideas may be missed when data are classified as simply not "big enough." This insightful book with its new approach initiates a radical shift in perspective from running the business to changing the business. While Big Data are very well suited to run a business efficiently, Small Data lay open phenomena which are connected to transforming a company, like inflection points, scale changes, or critical transitions. The authors present practical business examples and an 8-step framework to implement their ideas in teams and on the individual level. This offers reflective practitioners a guideline for leveraging the enormous potential of weak signals for effective strategy development and operational execution in times of uncertainty – and gives them the competitive edge they need to succeed.
£18.75
De Gruyter BioMachtData: Textstrategien im politischen und
Book SynopsisBiopower & data In her book BioMachtData, Sophie Reyer looks at data and the phenomenon of “dataism,” the homage paid to the unlimited flow of data. She describes “dataism” as a theory that has evolved into a veritable religion, yielding not only prophecies but also commandments, such as “Increase the flow of data!” Which means, in essence, “Consume and produce!” In the process, humanity recedes into the background, and the free flow or even flood of information becomes the new value. Based on Michel Foucault’s concept of biopower, Reyer develops artistic-philosophical approaches in words and verbal images – in the form of essays, monologues, dialogues, and theatrical fragments. She examines various figures of dataism, from incels to nerds and heroines. A linguistic-artistic and philosophical examination of biopower in times of unlimited data flow From data to “dataism” – in essays, experimental texts, and images A new book by Sophie Reyer, following on from the publication BioMachtTheater (2020)
£27.90
Peter Lang AG A Normal Distribution Course
Book SynopsisWhen it comes to the measurement and observation of physical, biological, medical, economic, or social variables, the normal distribution is the most famous and widely applied law standing behind random phenomena. Often, being introduced as the important distribution, it is applied without a sufficient awareness of its statistical background and its limitations. This book reviews properties of the normal distribution in between a probability theoretical and a data analytical point of view, and is directed towards readers with at least basic knowledge in probability and statistics. It can be used for self-study purposes, conveying statistical principles behind inference based on data analysis. Emphasis is laid on the practicability of the presented methods, being mainly confined to the analysis of a single data set. Numerous graphics and examples with real and simulated data are included to illustrate the discussed topics. Mathematical derivations of the results are omitted in general.
£31.14
Peter Lang AG Index Theory and Price Statistics
Book Synopsis
£71.01
Peter Lang AG Transboundary Migration in the Post-Soviet Space:
Book SynopsisThe collective monograph contains the results of an empirical project conducted in Armenia and Georgia as well as in Moscow (as the favourite destination of migrants from the South Caucasus) from 2008 to 2010. The book is the first contribution to comparative research in the migration-intense post-Soviet space, and covers the complete cycle before, during and after migration. The survey focused on such relevant issues as national migration profiles including age and gender composition, «brain drain» and «brain waste», return potentials, remittances, child separation, migration perception, and personal experiences in Moscow and other destinations. As results the field studies confirm the international trend of feminization in migration and a high awareness of the ambivalent nature of migration among two cohorts of migrants from Armenia and Georgia in Moscow and six cohorts of returnees in the respective countries of origin.Trade Review«Das von Nikolai Genov und Tessa Savvidis herausgegebene Buch besticht besonders durch die reichhaltige empirische Arbeit. Die Studie überzeugt, weil die Funde der Interviews stets kritisch diskutiert und kontextualisiert werden. Der Leser erfährt nicht nur neuere Umfragewerte unter Migranten und Experten, sondern kann in die geschichtlichen und soziopolitischen Zusammenhänge eintauchen, vor deren Hintergrund Migrationsprozesse ihre Gestalt annehmen. Migration als holistischen, zyklischen Prozess zu analysieren, ist der zweite Verdienst dieser Studie und eine Neuheit für den postsowjetischen Raum.» (Esther Ademmer, Armenisch-Deutsche Korrespondenz (ADK))Table of ContentsContents: Nikolai Genov: Global City and Regional Periphery - Challenges of Out-Migration from South Caucasus to Moscow – Gevork Poghosyan: Out-Migration from Armenia – Irina Badurashvili: Out-Migration from Georgia to Moscow and Other Destinations – Galina I. Osadchaya: Migrants from Armenia and Georgia in Moscow – Tessa Savvidis: Comparing Out-Migration from Armenia and Georgia.
£31.82
Peter Lang AG Financial Return Risk and the Effect on
Book SynopsisThis dissertation comprises five studies analyzing daily stock returns of listed firms. Studies one and two shed light on corporate diversification through M&A and how related risk dynamics affect shareholder wealth. Carrying over the risk analysis methodology ‘GARCH’ to external events in studies three and four, the author individually scrutinizes the adverse implications of bank failures and bailouts in the 2007-2009 financial crisis. Finding opposing return shocks, he identifies the limits of the ‘symmetric’ GARCH. As observed of the behavior of stock return data, volatility reacts asymmetrically to positive and negative return shocks. The advanced EGARCH incorporates this so called ‘leverage effect’. Applying the EGARCH in his final study, the author can simultaneously scrutinize the adverse bank events with an appropriate econometric foundation.Table of ContentsContents: Five studies analyzing shareholder wealth effects due to related (M&A) and unrelated (financial crisis) events around stock listed firms – ‘Abnormal returns’ – Models form the GARCH-family.
£46.17
Peter Lang AG Mergers and Acquisitions in the Global Brewing
Book SynopsisThis publication analyzes three individual corporate finance-related research topics on mergers and acquisitions in the global brewing industry. The first two studies investigate the short and long-term share price reactions of acquirer and rival companies. The third study assesses the immediate impact of mergers and acquisitions on systematic risk. Overall, the study contains a variety of empirical findings that are novel to existing corporate finance research. It provides a comprehensive analysis of the capital market implications of mergers and acquisitions in the sector and determinant drivers.Table of ContentsContents: Research Foundations: Market Overview and Industry Analysis – Study 1: Short-term Success of Mergers and Acquisitions – Study 2: Long-term Success of Mergers and Acquisitions – Study 3: Consolidation and Changes in the Risk Profile of the Brewing Industry – Abnormal Returns – Risk Analysis Applying GARCH Model – Risk Shifts.
£25.84
Peter Lang AG Interviewers’ Deviations in Surveys: Impact,
Book SynopsisSurvey data are used in many disciplines including Social Sciences, Economics and Psychology. Interviewers’ behaviour might affect the quality of such data. This book presents the results of new research on interviewers’ motivation and behaviour. A substantial number of contributions address deviant behaviour, methods for assessing the impact of such behaviour on data quality and tools for detecting faked interviews. Further chapters discuss methods for preventing undesirable interviewer effects. Apart from specific methodological contributions, the chapters of the book also provide a unique collection of examples of deviant behaviour and its detection – a topic not overly present in literature despite its substantial prevalence in survey field work. The volume includes 13 peer reviewed papers presented at an international workshop in Rauischholzhausen in October 2011.Table of ContentsContents: Sebastian Bredl/Nina Storfinger/Natalja Menold: A Literature Review of Methods to Detect Fabricated Survey Data – Natalja Menold/Peter Winker/Nina Storfinger/Christoph J. Kemper: A Method for Ex-Post Identification of Falsifications in Survey Data – Nina Storfinger/Peter Winker: Assessing the Performance of Clustering Methods in Falsification Identification using Bootstrap – Jörg Blasius/Victor Thiessen: Detecting Poorly Conducted Interviews – Birgit Jesske: Concepts and Practices in Interviewer Qualification and Monitoring – Oliver Hülser: Automatic Interview Control of Market Research Studies – Natascha Massing/Daniela Ackermann/Silke Martin/Anouk Zabal/Beatrice Rammstedt: Controlling Interviewers’ Work in PIAAC - the Programme for the International Assessment of Adult Competencies – Ana Slavec/Vasja Vehovar: Detecting Interviewer’s Deviant Behavior in the Slovenian National Readership Survey – Josef Brüderl/Bernadette Huyer-May/Claudia Schmiedeberg: Interviewer Behavior and the Quality of Social Network Data – Natalja Menold/Marie Kristin Opper: Interviewer Experience and «Quality» of Falsified Data – Marieke Haan/Yfke Ongena/Mike Huiskes: Interviewers’ Question: Rewording Not Always a Bad Thing – Patricia A. Gwartney: Mischief versus Mistakes: Motivating Interviewers to Not Deviate – Matthias Ziegler/Christoph J. Kemper: Extreme Response Style and Faking: Two Sides of the Same Coin?
£48.56
Peter Lang AG Russia’s Comparative Advantages in Foreign Trade:
Book SynopsisIdentifying factors which stimulate regional growth and international competitiveness and using them for forecasting are the aims of this book. Departing from the theory of comparative advantages and their impact, the author demonstrates that such an approach has to be based on a sound theoretical foundation and on appropriate, advanced econometric methods. He proposes the use of heuristic optimization techniques, Monte Carlo simulation experiments and Lasso-type estimators to avoid bias or misleading findings, which might be the result of applying standard regression methods when key assumptions are not satisfied. In addition, the author demonstrates how some heuristic optimization-based methods can be used to obtain forecasts of industrial production in Russia and Germany founded on past observations and some leading indicators.Table of ContentsContents: Forecasting Russian Foreign Trade – Comparative Advantages in the Context of a Potential WTO Accession – Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance – Heuristic Model Selection for Leading Indicators in Russia and Germany – A comparative study of the Lasso-type and heuristic methods – Business Cycle Forecasts – Comparative Advantage – Dynamic Panel Data – Economy in Transition – Genetic Algorithms – Heuristic Methods – Innovation – Lasso – Leading Indicators – Model Selection – Threshold Accepting.
£31.21
Peter Lang AG Minority Shareholder Monitoring and German
Book SynopsisThis book comprises three studies on minority shareholder monitoring in Germany. Mandatory disclosure requirements have increased transparency. An analysis of the information that is publicly available is presented, regardless of the size of the target corporation. The second essay in the form of an event study pays special attention to the German supervisory board and its appointment for a fixed term. Capital markets perceive an activist effort as being more credible under certain circumstances. The study as a whole is empirical evidence for increased minority shareholder activity in Germany. The evidence presented supports the strong shareholder rights perspective. It conflicts with the weak shareholder rights view brought forward in the international literature.Table of ContentsContents: Empirical analysis of minority shareholder activism in Germany – Event study on activist events between 1999 and 2011 – Abnormal returns are linked to supervisory board election – Value creation through minority shareholder monitoring – Strong shareholder rights perspective.
£27.41
Peter Lang AG Rural Poverty Determinants in the Remote Rural
Book SynopsisThis book is a study about rural poverty in the remote rural area of Kyrgyzstan. It analyses the linkage of poverty with the limits of production frontier efficiency of the rural households in the selected area. A field survey of the cross-section random sample collects primary information about 297 rural households. This allows to measure rural poverty and frontier production efficiency of a sample, using Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. The empirical results demonstrate statistical significance of the poverty-efficiency linkage in the case of simple and multivariate linear regression. The endogeneity problem is resolved with the proposed instrumental variables, not correlating with the wealth of the household, but affecting the technical efficiency.Table of ContentsContents: Kyrgyzstan Profile – Production Frontier History – Descriptive Statistics – Empirical Analysis Results – Poverty Measurement – Production Efficiency Measurement – Poverty - Efficiency Linkage Model Results.
£40.59
Peter Lang AG Bio-Based Energy, Rural Livelihoods and Energy
Book SynopsisThis study explores issues of biomass energy use in relation to household welfare and it assesses Ethiopia’s future energy security with a focus on long-term model of the energy sector, and institutional arrangements required for decentralized energy initiatives. Data from Ethiopian rural households reveal negative welfare effects associated with traditional biomass energy utilization, while increases in the opportunity cost of fuelwood collection is associated negatively with allocation of labour to agriculture and fuelwood use. It appears that investment on integrated energy source diversification improves sustainability and resilience, but increases production cost. Innovations that improve alternative sources reduce production cost, improve energy security, and thus serve as an engine of economic growth.Table of ContentsContents: Analysis of biomass energy use in Ethiopian households – Fixed Effect Two-Stage Least Squares – Dynamic long-term model for Ethiopia’s energy sector – Agricultural household model – Fuelwood scarcity, cross-wage effects, and their welfare implications – Household energy mix decision and substitution between energy sources – Determinants of household bio-based energy use – Household labour allocation by activities – Household joint labour allocation to livelihood activities – Determinants of household food and energy expenditures – Household bio-based energy utilization and welfare effects of fuelwood scarcity – Decentralized clean energy generation and use – Assessing energy security, uncertainty and renewable energy options – Effects of technological and efficiency innovations on electricity production mix – Institutions and collective action theories – Bottlenecks and barriers to rural renewable energy use – Participatory forest management.
£55.80
Peter Lang AG Coping with Uncertainty: Petty Traders in
Book SynopsisPetty trade helped vast numbers of people to survive the crisis faced by post-Soviet Russia. The book analyses how this survival technique was carried out in practice. On the basis of his fieldwork research, the author shows how people coped with rapid social change and places their activities within a context of government policies, migration flows and entrepreneurial strategies. «This is an original work based on extensive fieldwork research. Wielecki skillfully intertwined «ethnographic meat» with «the bones of theory», which has resulted in a «flesh-and-blood» anthropology.» Michał Buchowski «This is an immensely insightful exploration of petty trade in post-Soviet Russia. The author laces his genuine ethnographic work in a coherent account of the concepts of uncertainty, embeddedness, and informal economy.» Violetta ZentaiTable of ContentsContents: Coping with social change of postsocialist transformations – Economies of survival – Theories of uncertainty – From informal Soviet economy to Russian petty trade – Determinants of entrepreneurship – Social embeddedness of economic behavior – Political economy of post-Soviet Russia – Economic anthropology.
£36.04
Peter Lang AG Empowering Educational Leaders: How to thrive in
Book SynopsisWe live in a rapidly changing world, called VUCA, with its unique challenges and opportunities for growth and innovation. To be able to adjust changes and navigate complexities, leaders need to be prepared for the crises and opportunities that await them. That is why this book provides current information on the new leadership skills and the ways for enhancing VUCA readiness of educational leaders. This book is thought to be a comprehensive guide to help today’s educational leaders thrive in VUCA by addressing the topics such as managing change and complexity, authentic leadership, agility, resilience and digital transformation. Thus, the book addresses all practitioners, leaders and teachers who need a practical guide on how to expand their vision, enhance their skills to lead in constantly changing educational environments.Table of ContentsPart 1: VUCA World Let the Fog Cloud Dissipate: Offering Clarity to Educational Leaders in a VUCA World Part 2: Leading Change: Skills to Help Educational Leaders Thrive in a VUCA World Unveiling the Role of Authentic Leadership for Educational Leaders in a VUCA World Agile Leadership Leading Schools in the Age of Chaos & Complexity with Quantum Leadership Building Resilience in Education: Ensuring Quality Learning amidst Crises and Disruptions Part 3: Leading People: Communication and Collaboration in a VUCA World Managing Diversity for Equity and Inclusion Leading by Becoming a Learning Organization in the Age of Quantum Marketing and Risk Management for Educational Leaders in VUCA Part 4: Leading Digital Transformation in a VUCA World Being on the Same Ship with Stakeholders: Industry 5.0 Lifelong Learner Leaders The Future Leaders: Trends, Issues and New Solutions
£29.45
