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Generalized linear models

Author: P McCullagh; John A Nelder
Publisher: London ; New York : Chapman and Hall, 1989.
Series: Monographs on statistics and applied probability (Series), 37.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:

This monograph deals with a class of statistical models that generalizes classical linear models to include many other models that have been found useful in statistical analysis.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: P McCullagh; John A Nelder
ISBN: 0412317605 9780412317606
OCLC Number: 24289044
Description: xix, 511 pages : illustrations ; 23 cm.
Contents: An outline of generalized linear models --
Models for continuous data with constant variance --
Binary data --
Models for polytomous data --
Log-linear models --
Conditional likelihoods --
Models with constant coefficient of variation --
Quasi-likelihood functions --
Joint modelling of mean and dispersion --
Models with additional non-linear parameters --
Model checking --
Models for survival data --
Components of dispersion --
Further topics.
Series Title: Monographs on statistics and applied probability (Series), 37.
Responsibility: P. McCullagh and J.A. Nelder.
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..." an important, useful book, well-written by two authorities in the field..." -Times Higher Education Supplement ..." an enormous range of work is covered... represents, perhaps, the most Read more...

 
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