Generalized, Linear, and Mixed Models

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An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, 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 th...

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Detalles Bibliográficos
Autores principales: McCulloch, Charles E, Searle, Shayle R, Neuhaus, John M
Lenguaje:eng
Publicado: John Wiley & Sons 2011
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1438568
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author McCulloch, Charles E
Searle, Shayle R
Neuhaus, John M
author_facet McCulloch, Charles E
Searle, Shayle R
Neuhaus, John M
author_sort McCulloch, Charles E
collection CERN
description An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, 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 m
id cern-1438568
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher John Wiley & Sons
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spelling cern-14385682021-04-22T00:29:29Zhttp://cds.cern.ch/record/1438568engMcCulloch, Charles ESearle, Shayle RNeuhaus, John MGeneralized, Linear, and Mixed ModelsMathematical Physics and Mathematics An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, 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 mJohn Wiley & Sonsoai:cds.cern.ch:14385682011
spellingShingle Mathematical Physics and Mathematics
McCulloch, Charles E
Searle, Shayle R
Neuhaus, John M
Generalized, Linear, and Mixed Models
title Generalized, Linear, and Mixed Models
title_full Generalized, Linear, and Mixed Models
title_fullStr Generalized, Linear, and Mixed Models
title_full_unstemmed Generalized, Linear, and Mixed Models
title_short Generalized, Linear, and Mixed Models
title_sort generalized, linear, and mixed models
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1438568
work_keys_str_mv AT mccullochcharlese generalizedlinearandmixedmodels
AT searleshayler generalizedlinearandmixedmodels
AT neuhausjohnm generalizedlinearandmixedmodels

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