Generalized Estimating Equations

Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems. Therefore, the main goal of th...

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Bibliographic Details
Main Author: Ziegler, Andreas (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Series:Lecture Notes in Statistics, 204
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • The linear exponential family
  • The quadratic exponential family
  • Generalized linear models
  • Maximum likelihood method
  • Quasi maximum likelihood method
  • Pseudo maximum likelihood method based on the linear exponential family
  • Quasi generalized pseudo maximum likelihood method based on the linear exponential family
  • Algorithms for solving the generalized estimating equations and the relation to the jack-knife estimator of variance
  • Pseudo maximum likelihood estimation based on the quadratic exponential family
  • Generalized method of moment estimation.