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Applied Regression Analysis and Generalized Linear Models Hardcover – Illustrated, 15 April 2015

by John Fox (Author)
4.1 out of 5 stars 26
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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.

Previous page
  1. Print length
    816 pages
  2. Language
    English
  3. Publication date
    15 April 2015
  4. Dimensions
    17.78 x 4.67 x 25.4 cm
  5. ISBN-10
    1452205663
  6. ISBN-13
    978-1452205663
  7. See all details
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Product description

Review

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)

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

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

About the Author

John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.

Product details

  • Publisher ‏ : ‎ SAGE Publications Inc; 3rd edition (15 April 2015)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 816 pages
  • ISBN-10 ‏ : ‎ 1452205663
  • ISBN-13 ‏ : ‎ 978-1452205663
  • Dimensions ‏ : ‎ 17.78 x 4.67 x 25.4 cm
  • Customer Reviews:
    4.1 out of 5 stars 26

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Julio Cesar Cerono
5.0 out of 5 stars and the "hands on" style using data sets are absolutely perfect for understanding and mastering regression analysis at a good ..
Reviewed in the United States on 18 October 2015
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This is one of the most lucid works in regression so far. The clarity of concepts, and the "hands on" style using data sets are absolutely perfect for understanding and mastering regression analysis at a good level: from simple classical linear regression, to generalized linear models and mixed models effects regression. Appendixes and data sets can be downloaded from the website. You can certainly use this book for self learning also.
7 people found this helpful
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Amazon Customer
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on 5 February 2016
Verified Purchase
Nice book. Easy to understand. Different topics well presented.
Bjarni Bessason
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Lisa
5.0 out of 5 stars Five Stars
Reviewed in the United States on 20 October 2016
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required textbook for course
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Grad_Student
4.0 out of 5 stars The standard for linear regression
Reviewed in the United States on 10 August 2015
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I got this book for use as part of a quantitative methods program I was taking during the summer. It is a great reference that contains a ton of examples. Definitely worth it if you need a general all-purpose book for regression
5 people found this helpful
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m s pen
2.0 out of 5 stars Two Stars
Reviewed in the United States on 12 May 2018
Verified Purchase
Bought this book for a graduate level regression class. This book is badly written and barely added anything to my learning of regression concepts. I found regression lecture and lab infinitely more valuable than this book.
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