ENGLISH

Generalized Estimating Equations

By Andreas Ziegler (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2011
ISBN
1461404983, 9781461404989
DOI
10.1007/978-1-4614-0499-6
ISSN
0930-0325
Google Books ID
uTNKqzx2-VIC
Language
english
Format
PDF
Filesize
2 MB (1710665 bytes)
Series
Lecture Notes in Statistics 204
Edition
1
Pages
144\161
Orientation
yes
Scanned
no
Time added
2012-02-14 18:00:00
Statistical Theory and Methods

Description

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 further developments. Subsequently, the emphasis is put on the unification of various GEE approaches. This is done by the use of two different estimation techniques, the pseudo maximum likelihood (PML) method and the generalized method of moments (GMM). The author details the statistical foundation of the GEE approach using more general estimation techniques. The book could therefore be used as basis for a course to graduate students in statistics, biostatistics, or econometrics, and will be useful to practitioners in the same fields.

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