Generalized Estimating Equations (Paperback, 2011 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Lecture Notes in Statistics, 204
Release date:	June 2011
First published:	2011
Authors:	Andreas Ziegler
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	144
Edition:	2011 ed.
ISBN-13:	978-1-4614-0498-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	1-4614-0498-3
Barcode:	9781461404989

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