Generalized estimating equations / Andreas Ziegler.

By: Ziegler, Andreas, 1966-
Material type: TextTextLanguage: English Series: Lecture notes in statistics (Springer-Verlag): Publisher: New York : Springer, 2011Description: xv, 144 p. : ill. ; 24 cmISBN: 9781461404989 (pbk. : acidfree paper); 1461404983 (pbk. : acidfree paper)Subject(s): Generalized estimating equationsDDC classification: 519.544 LOC classification: QA278.2 | .Z52 2011Online resources: E-book fulltext
Contents:
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.
Summary: Summary: 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 this book is to give a systematic presentation of the original generalized estimating equations (GEE) and some of its Read more...
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Print version:
Ziegler, Andreas, 1966-
Generalized estimating equations.
New York : Springer, 2011
(DLC) 2011931289

Includes bibliographical references (p. 133-141) and index.

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.

Summary:
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 this book is to give a systematic presentation of the original generalized estimating equations (GEE) and some of its Read more...

Applied Statistics

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