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Generalized, linear, and mixed models

Author: Charles E McCulloch; S R Searle; John M Neuhaus
Publisher: Hoboken, New Jersey : John Wiley & Sons, ©2008.
Series: Wiley series in probability and statistics.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:
This book provides an up-to-date treatment of the techniques for developing and applying a wide variety of statistical models. It presents unified coverage of the theory behind generalized, linear, and mixed media models and highlights their similarities and differences in various construction, application, and computational aspects. A clear introduction to the basic ideas of fixed effects models, random effects  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Charles E McCulloch; S R Searle; John M Neuhaus
ISBN: 9780470073711 0470073713
OCLC Number: 191024148
Description: xxv, 384 pages : illustrations ; 24 cm.
Contents: One-way classifications --
Single-predictor regression --
Linear models (LMs) --
Generalized linear models (GLMs) --
Linear mixed models (LMMs) --
-Generalized linear mixed models (GLMMs) --
Models for longitudinal data --
Marginal models --
Multivariate models --
-Nonlinear models --
Departures from assumptions --
Prediction --
Computing.
Series Title: Wiley series in probability and statistics.
Responsibility: Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus.
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Abstract:

- This new edition presents a unified, accessible, and self-contained treatment of the latest statistical methods for analyzing correlated, non-normally distributed data. - The book's unified  Read more...

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