Generalized Estimating Equations
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Author
Contributions
- SpringerLink (Online service) - Contributor
Publication
2011 - Springer Science+Business Media, LLC, New York, NY, New York (State)
Language
English
Word Count
36,000 words, Guess
Page Count
144 pages
Physical Format
[electronic resource] /
Identifiers
- Open LibraryOL25545540M
- ISBN-139781461404989
- OCLC Control Number733247808
- OCLC Control Numbergeneralizedestim00zieg
- Library of Congress Control Number2011931289
Classifications
- LCCQA278.2 .Z52 2011
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.
Subjects
Series Statement
- Lecture Notes in Statistics -- 204
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