Generalized estimating equations / Andreas Ziegler.

By: Ziegler, Andreas, 1966-Material type: Text

TextLanguage: English Series: Lecture notes in statistics (Springer-Verlag)Publication details: New York : Springer, 2011. Description: 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:

TOC 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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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.544 ZIG 2011 (Browse shelf(Opens below))		Not For Loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.544 ZIG 2011 (Browse shelf(Opens below))	C-1	Not For Loan		26481

Total holds: 0

Print version:
Ziegler, Andreas, 1966-
Generalized estimating equations.
New York : Springer, 2011
(DLC) 2011931289

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

TOC 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...

Saifun Momota

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