Mixed-Effects Models in S and S-PLUS
Series: Statistics and Computing;
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Product details:
- Edition number 2000
- Publisher Springer New York
- Date of Publication 5 May 2000
- Number of Volumes 1 pieces, Book
- ISBN 9780387989570
- Binding Hardback
- See also 9781475781441
- No. of pages528 pages
- Size 235x155 mm
- Weight 980 g
- Language English
- Illustrations XVI, 528 p. Illustrations, black & white 0
Categories
Long 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) Mixed Effects Models involve measurements made over time on an individual in an experiment. This book presents the most recent techniques for analyzing this type of data in the statistical software program S-PLUS. It will be of interest to researchers and graduate students in statistics, biostatistics, and epidemiology.
MoreTable of Contents:
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.
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