Linear and Generalized Linear Mixed Models and Their Applications - Rilegato

Libro 89 di 160: Springer Series in Statistics

Jiang, Jiming

 
9780387479415: Linear and Generalized Linear Mixed Models and Their Applications
Rilegato
ISBN 10: 0387479414 ISBN 13: 9780387479415
Casa editrice: Springer Nature, 2007

Sinossi

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models. The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Jiming Jiang is Professor of Statistics and Director of the Statistical Laboratory at UC-Davis.

Dalla quarta di copertina

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it has included recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.

The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis. The book is suitable for a course in a M.S. program in statistics, provided that the section of further results and technical notes in each of the first four chapters is skipped. If these four sections are included, the book may be used for a course in a Ph. D. program in statistics. A first course in mathematical statistics, the ability to use computers for data analysis, and familiarity with calculus and linear algebra are prerequisites. Additional statistical courses such as regression analysis and a good knowledge about matrices would be helpful.

Jiming Jiang is Professor of Statistics and Director of the Statistical Laboratory at UC-Davis. He is a prominent researcher in the fields of mixed effects models and small area estimation, and co-receiver of the Chinese National Natural Science Award and American Statistical Association's Outstanding Statistical Application Award.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2007
Lingua
Inglese
ISBN 10 
0387479414
ISBN 13 
9780387479415
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
257
Contatto del produttore
non disponibile
Persona responsabile
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Altre edizioni note dello stesso titolo

9781441923684: Linear and Generalized Linear Mixed Models and Their Applications

Edizione in evidenza

ISBN 10:  1441923683 ISBN 13:  9781441923684
Casa editrice: Springer, 2010
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