Generalized Linear Models: Theory and Applications

Series:
Chapman & Hall/CRC Interdisciplinary Statistics
Published:
June 15, 2010 by Chapman and Hall/CRC - 352 Pages
Author(s):
Joseph M. Hilbe, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA and Arizona State University, Tempe, AZ; James W. Hardin, University of South Carolina, Columbia, USA
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ISBN 9781584887584
Cat# C7583
 

Features

  • Delivers a comprehensive introduction to generalized linear models
  • Features many worked examples using real data taken from the health and social sciences
  • Implements examples using R, Stata, SAS and LogiXact software
  • Includes a large number of exercises with solutions
  • Provides a website with data sets, software links, and additional examples

    • Summary

    Generalized Linear Models: Theory and Applications provides a comprehensive, practical introduction to generalized linear models that covers all of the main models and methods of estimation. Worked examples of real data are backed up by implementation in a range of software packages, including R, Stata, SAS, and LogiXact. The examples presented are taken predominantly from the health and social sciences, including health outcomes research, genetics, economics, education, and psychology. Material is supported by a website with data sets, software links, and further examples.

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