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Applied Regression Analysis and Generalized Linear Models
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.
816 pages, Hardcover
First published April 16, 2008
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About the author
John D. Fox
17Ìýbooks2ÌýfollowersJohn Fox is the Senator William McMaster Professor of Social Statistics at the Department of Sociology at McMaster University in Canada.
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Displaying 1 - 5 of 5 reviews
August 23, 2016
Now that I have had a few more classes in the subject area, I feel a bit more confident that this book should have an average rating, rather than higher. the explanations of the book are not bad, if you already have a thorough understanding of the topic. It does provide a quick overview of most of the major topics in the field and includes a full chapter on the treatment of statistical analysis using matrices and graphical vectors.
However, the organization is poor. Linear algebraic, matrices and vectors should be introduced in the more accurate place of chapter 2 or 3. Further, as a teaching tool, this book offers a lack of practice problems to help the student through the learning process. Further, each topic is addressed so quickly and with a single, kind of contrived example, that it would be difficult for most newbies to the field to really obtain the type of practice and deep understanding that is required to go onto the next topic with confidence.
Higher rated texts should split up the topics into multiple books or provide a greater number of examples and problems for students to build their skill set.
However, the organization is poor. Linear algebraic, matrices and vectors should be introduced in the more accurate place of chapter 2 or 3. Further, as a teaching tool, this book offers a lack of practice problems to help the student through the learning process. Further, each topic is addressed so quickly and with a single, kind of contrived example, that it would be difficult for most newbies to the field to really obtain the type of practice and deep understanding that is required to go onto the next topic with confidence.
Higher rated texts should split up the topics into multiple books or provide a greater number of examples and problems for students to build their skill set.
March 17, 2025
It's a book about applied regression and GLMs, who on earth would rate it higher than two stars?
June 11, 2010
My worst nightmare
September 19, 2014
I don't like the author's choice of language. The concept is difficult to grasp when the author doesn't use lament terms
July 5, 2021
Does anyone know if there is any solution manual book to the following exercises?
Displaying 1 - 5 of 5 reviews
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