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Applied Regression Analysis and Generalized Linear Models

Second Edition
John Fox McMaster University
© 2008   688 pages   SAGE Publications, Inc   
Instructors
Complimentary Review Copy
Individual Purchasers
Hardcover ISBN: 9780761930426 $138.00

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Second Edition of Applied Regression Analysis and Generalized Linear Models 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.

Key Updates to the Second Edition:

  • Provides greatly enhanced coverage of generalized linear models, with an emphasis on models for categorical and count data
  • Offers new chapters on missing data in regression models and on methods of model selection
  • Includes expanded treatment of robust regression, time-series regression, nonlinear regression, and nonparametric regression
  • Incorporates new examples using larger data sets
  • Includes 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

Intended Audience:
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.

 

Applied Regression Analysis and Generalized Linear Models

Second Edition
John Fox McMaster University
© 2008   688 pages   SAGE Publications, Inc  

Available Formats

ISBN:   9780761930426 Hardcover Suggested Retail Price:   $138.00 Bookstore Price:   $110.40

Previous Editions Published by SAGE

First Edition: © 1997

About This Title


Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Second Edition of Applied Regression Analysis and Generalized Linear Models 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.

Key Updates to the Second Edition:

  • Provides greatly enhanced coverage of generalized linear models, with an emphasis on models for categorical and count data
  • Offers new chapters on missing data in regression models and on methods of model selection
  • Includes expanded treatment of robust regression, time-series regression, nonlinear regression, and nonparametric regression
  • Incorporates new examples using larger data sets
  • Includes 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

Intended Audience:
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.

 

Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email sageheoa@sagepub.com. Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html.

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