Applied Regression Analysis and Generalized Linear Models
Format:Hardback
Publisher:SAGE Publications Inc
Published:26th May '15
Should be back in stock very soon
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.
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 author′s website.
NEW! Bonus chapter on Bayesian Estimation of Regression Models also available at the author′s website.
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)
ISBN: 9781452205663
Dimensions: unknown
Weight: 1690g
816 pages
3rd Revised edition