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Linear and Generalized Linear Mixed Models and Their Applications (Springer Series in Statistics) PDF

268 Pages·2007·1.883 MB·English
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by Jiming Jiang| 2007| 268 pages| 1.883| English

About Linear and Generalized Linear Mixed Models and Their Applications (Springer Series in Statistics)

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.

Detailed Information

Author:Jiming Jiang
Publication Year:2007
ISBN:9780387479415
Pages:268
Language:English
File Size:1.883
Format:PDF
Price:FREE
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.