Authors:
- This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data.
Part of the book series: Statistics and Computing (SCO)
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Table of contents (8 chapters)
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Front Matter
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Nonlinear Mixed-Effects Models
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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Bell Laboratories, Lucent Technologies, Murray Hill, USA
José C. Pinheiro
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Department of Computer Sciences and Statistics, University of Wisconsin, Madison, USA
Douglas M. Bates
Bibliographic Information
Book Title: Mixed-Effects Models in S and S-PLUS
Authors: José C. Pinheiro, Douglas M. Bates
Series Title: Statistics and Computing
DOI: https://doi.org/10.1007/b98882
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-387-98957-0Published: 05 May 2000
Softcover ISBN: 978-1-4757-8144-1Published: 21 March 2013
eBook ISBN: 978-0-387-22747-4Published: 17 May 2006
Series ISSN: 1431-8784
Series E-ISSN: 2197-1706
Edition Number: 1
Number of Pages: XVI, 528
Topics: Database Management, Programming Languages, Compilers, Interpreters, Statistics and Computing/Statistics Programs