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Applied Regression Analysis and Generalized Linear Models

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Author: John Fox
Publisher: Sage Publications, Inc
Category: Book

List Price: ~~$89.95~~
Buy New: $71.96
You Save: $17.99 (20%)

New (27) Used (10) from $70.00

Media: Hardcover
Edition: 2nd
Number Of Items: 1
Pages: 688
Shipping Weight (lbs): 3
Dimensions (in): 10.1 x 7.1 x 1.6

ISBN: 0761930426
Dewey Decimal Number: 300.1519536
EAN: 9780761930426
ASIN: 0761930426

Publication Date: April 16, 2008
Availability: Usually ships in 24 hours

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Editorial Reviews:

Product Description
p class="MsoNormal"/ppCombining a modern, data-analytic perspective with a focus on applications in the social sciences, the strongSecond Edition /strongof strongApplied Regression Analysis and Generalized Linear Models/strong provides in-depth coverage of regression analysis, generalized linear models, and closely related methods. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material throughout the book. br /br /strongKey Updates to the Second Edition/strong:br //pulliProvides greatly enhanced coverage of generalized linear models, with an emphasis on models for categorical and count data /liliOffers new chapters on missing data in regression models and on methods of model selection /liliIncludes expanded treatment of robust regression, time-series regression, nonlinear regression, and nonparametric regression /liliIncorporates new examples using larger data sets /liliIncludes an extensive Web site at http://www.sagepub.com/fox that presents appendixes, data sets used in the book and for data-analytic exercises, and the data-analytic exercises themselves /li/ulpbr /strongIntended Audience: /strongbr /This core text will be a valuable resource for graduate students and researchers in the social sciences (particularly sociology, political science, and psychology) and other disciplines that employ linear and related models for data analysis. br /br /br /strongHigh Praise for the First Edition:/strong br /br /em#x201C;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.#x201D;br //em-strongJOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION br //strongbr /br /em#x201C;[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.#x201D; /em-strongCHANCE/strong/p

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