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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Detaylı Bibliyografya
Yazar: Ziegler, Andreas
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edisyon:1st ed. 2011.
Seri Bilgileri:Lecture Notes in Statistics 204
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Not: Description d'après consultation du 22 mai 2012
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Edition sous un autre format:• Generalized estimating equations, Andreas Ziegler, New York, Springer, 2011, 1 vol. (XV-144 p.), Lecture Notes in Statistics, 978-1-4614-0498-9
• Generalized estimating equations, Andreas Ziegler, New York, Springer, 2011, 1 vol. (XV-144 p.), Lecture Notes in Statistics, 978-1-4614-0498-9
• Generalized Estimating Equations, Texte imprimé, 9781461405009
Diğer Bilgiler
Özet: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
Diğer Bilgileri:Description d'après consultation du 22 mai 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliyografya:Bibliogr. p. 133-141 Index p. 142-143
ISBN:9781461404996
ISSN:2197-7186
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