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Applied Regression Analysis and Generalized Linear Models by John Fox (2015, Book, Other)

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This textbook, written by John Fox Jr., explores the concepts of applied regression analysis and generalized linear models. It was published in 2015 and boasts a hardcover format, 816 pages, and a weight of 49.7 ounces.

About this product

Product Identifiers

PublisherSAGE Publications, Incorporated

ISBN-101452205663

ISBN-139781452205663

eBay Product ID (ePID)210346494

Product Key Features

Number of Pages816 Pages

LanguageEnglish

Publication NameApplied Regression Analysis and Generalized Linear Models

SubjectProbability & Statistics / Regression Analysis, Probability & Statistics / General, General, Statistics

Publication Year2015

TypeNot Available

Subject AreaMathematics, Reference, Social Science

AuthorJohn Fox

FormatBook, Other

Dimensions

Item Height4 in

Item Weight49.7 Oz

Item Length0.6 in

Item Width2.9 in

Additional Product Features

Edition Number3

LCCN2014-959146

ReviewsThe strength of this text is the unified presentation of several regression topics that provides the student with a global perspective on regression analysis. The student is well served with this unified approach as it facilitates deeper research on any one topic with more advanced texts., PRAISE FOR THE PREVIOUS EDITIONS In summary, this is an excellenttext on regression applications and methods, written with authority, lucidity, and eloquence. The second edition provides substantive and topical updates, and makes the book suitable for courses designed to emphasize both the classical and the modern aspects of regression., PRAISE FOR THE PREVIOUS EDITIONS Even though the book is written with social scientists as the target audience, the depth of material and how it is conveyed give it far broader appeal. Indeed, I recommend it as a useful learning text and resource for researchers and students in any field that applies regression or linear models (that is, most everyone), including courses for undergraduate statistics majors.... The author is to be commended for giving us this book, which I trust will find a wide and enduring readership., PRAISE FOR THE PREVIOUS EDITIONS [T]his wonderfully comprehensive book focuses on regression analysis and linear models... We enthusiastically recommend this book--having used it in class, we know that it is thorough and well-liked by students., PRAISE FOR THE PREVIOUS EDITIONS [T]his wonderfully comprehensivebook focuses on regression analysis and linear models... We enthusiastically recommend this book--having used it in class, we know that it is thorough and well-liked by students., This text is a one-stop shop for me for my first year stats sequence for students in our program. Those wanting the technical detail will be satisfied; those wanting an excellent explanation of these methods using real-world examples and approachable language will also be satisfied., The strength of this text is the unified presentation of several regression topics that provides the student with a global perspective on regression analysis. The student is well served with this unified approach as it facilitates deeper research on any one topic with more advanced texts., The strength of this text is the unified presentation of several regression topics that provides the student with a global perspective on regression analysis. The student is well served with this unified approach as it facilitates deeper research on any one topic with more advanced texts. -- E. C. Hedberg, Arizona State University This text is a one-stop shop for me for my first year stats sequence for students in our program. Those wanting the technical detail will be satisfied; those wanting an excellent explanation of these methods using real-world examples and approachable language will also be satisfied. -- Corey S. Sparks, The University of Texas at San Antonio I have enjoyed using previous editions of this text and look forward to using this edition. It covers all key topics, and quite a few advanced ones, in one well-written text. -- Michael S. Lynch, University of Georgia PRAISE FOR THE PREVIOUS EDITIONS In summary, this is an excellent text on regression applications and methods, written with authority, lucidity, and eloquence. The second edition provides substantive and topical updates, and makes the book suitable for courses designed to emphasize both the classical and the modern aspects of regression. -- Journal of the American Statistical Association (review of the second edition) PRAISE FOR THE PREVIOUS EDITIONS Even though the book is written with social scientists as the target audience, the depth of material and how it is conveyed give it far broader appeal. Indeed, I recommend it as a useful learning text and resource for researchers and students in any field that applies regression or linear models (that is, most everyone), including courses for undergraduate statistics majors.... The author is to be commended for giving us this book, which I trust will find a wide and enduring readership. -- Journal of the American Statistical Association (review of the first edition) PRAISE FOR THE PREVIOUS EDITIONS [T]his wonderfully comprehensive book focuses on regression analysis and linear models... We enthusiastically recommend this book-having used it in class, we know that it is thorough and well-liked by students. -- Chance (review of the first edition), PRAISE FOR THE PREVIOUS EDITIONS In summary, this is an excellent text on regression applications and methods, written with authority, lucidity, and eloquence. The second edition provides substantive and topical updates, and makes the book suitable for courses designed to emphasize both the classical and the modern aspects of regression., I have enjoyed using previous editions of this text and look forward to using this edition. It covers all key topics, and quite a few advanced ones, in one well-written text., PRAISE FOR THE PREVIOUS EDITIONS Even though the book is written with social scientists as the target audience, the depth of material and how it is conveyed give it far broader appeal. Indeed, I recommend it as a usefullearning text and resource for researchers and students in any field that applies regression or linear models (that is, most everyone), including courses for undergraduate statistics majors.... The author is to be commended for giving us this book, which I trust will find a wide and enduring readership.

Dewey Edition22

IllustratedYes

Dewey Decimal300.1/519536

Intended AudienceCollege Audience

SynopsisCombining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book. Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the authors website. NEW! Bonus chapter on Bayesian Estimation of Regression Models also available at the authors website., Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research., Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.

LC Classification NumberQA278.2