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The Resource Generalized, linear, and mixed models, Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus

Generalized, linear, and mixed models, Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus

Label
Generalized, linear, and mixed models
Title
Generalized, linear, and mixed models
Statement of responsibility
Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus
Creator
Contributor
Subject
Language
eng
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 models, and mixed models is maintained throughout, and each chapter illustrates how these models are applicable in a wide array of contexts. In addition, a discussion of general methods for the analysis of such models is presented with an emphasis on the method of maximum likelihood for the estimation of parameters. The authors also provide coverage of the latest statistical models for correlated, non-normally distributed data. This second edition features: a new chapter that covers omitted covariates, incorrect random effects distribution, correlation of covariates and random effects, and variance estimation; a new chapter that treats shared random effected models, latent class models, and properties of models; a revised chapter on longitudinal data, which now includes a discussion of generalized linear models, modern advances in longitudinal data analysis, and the use between and within covariate decompositions; expanded coverage of marginal versus conditional models, and numerous new and updated examples
  • "Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed 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 models, and mixed models is maintained throughout, and each chapter illustrates how these models are applicable in a wide array of contexts. In addition, a discussion of general methods for the analysis of such models is presented with an emphasis on the method of maximum likelihood for the estimation of parameters. The authors also provide comprehensive coverage of the latest statistical models for correlated, non-normally distributed data." "With its accessible style and wealth of illustrative exercises, Generalized, Linear, and Mixed Models, Second Edition is an ideal book for courses on generalized linear and mixed models at the upper-undergraduate and beginning-graduate levels. It also serves as a reference for applied statisticians, industrial practitioners, and researchers."--BOOK JACKET
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
McCulloch, Charles E
Dewey number
519.5/35
Illustrations
illustrations
Index
index present
LC call number
QA279
LC item number
.M3847 2008
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1928-
http://library.link/vocab/relatedWorkOrContributorName
  • Searle, S. R.
  • Neuhaus, John M
Series statement
Wiley series in probability and statistics
http://library.link/vocab/subjectName
Linear models (Statistics)
Label
Generalized, linear, and mixed models, Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 364-377) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Control code
191024148
Dimensions
25 cm
Edition
2nd ed.
Extent
xxv, 384 pages
Isbn
9780470073711
Isbn Type
(cloth)
Lccn
2008002724
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)191024148
Label
Generalized, linear, and mixed models, Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus
Publication
Bibliography note
Includes bibliographical references (pages 364-377) and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Control code
191024148
Dimensions
25 cm
Edition
2nd ed.
Extent
xxv, 384 pages
Isbn
9780470073711
Isbn Type
(cloth)
Lccn
2008002724
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)191024148

Library Locations

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      104 Ellis Library, Columbia, MO, 65201, US
      38.944377 -92.326537
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