Mixed-Effects Models in S and S-PLUS
Published on 21. March 2013
Book
Paperback/Softback
XVI, 528 pages
978-1-4757-8144-1 (ISBN)
Description
"Over 170 figures are included in the book. . the material covered in the book is self-contained . . The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models." (E.M.Psyadlo, zbMATH 0953.62065, 2022)
Reviews / Votes
"Over 170 figures are included in the book. . the material covered in the book is self-contained . . The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models." (E.M.Psyadlo, zbMATH 0953.62065, 2022)More details
Series
Edition
Softcover reprint of the original 1st ed. 2000
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XVI, 528 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
820 gr
ISBN-13
978-1-4757-8144-1 (9781475781441)
DOI
10.1007/b98882
Schweitzer Classification
Other editions
Additional editions
José Pinheiro | Douglas Bates
Mixed-Effects Models in S and S-PLUS
E-Book
05/2006
Springer
€223.63
Available for download
José Pinheiro | Douglas Bates
Mixed-Effects Models in S and S-PLUS
Book
05/2000
Springer
€235.39
Shipment within 5-7 days
Content
Linear Mixed-Effects Models.- Linear Mixed-Effects Models: Basic Concepts and Examples.- Theory and Computational Methods for Linear Mixed-Effects Models.- Describing the Structure of Grouped Data.- Fitting Linear Mixed-Effects Models.- Extending the Basic Linear Mixed-Effects Model.- Nonlinear Mixed-Effects Models.- Nonlinear Mixed-effects Models: Basic Concepts and Motivating Examples.- Theory and Computational Methods for Nonlinear Mixed-Effects Models.- Fitting Nonlinear Mixed-Effects Models.