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Mixed-Effects Models in S and S-PLUS

BuchGebunden
528 Seiten
Englisch
Springererschienen am05.05.20002000
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.mehr
Verfügbare Formate
BuchGebunden
EUR235,39
BuchKartoniert, Paperback
EUR235,39
E-BookPDF1 - PDF WatermarkE-Book
EUR223,63

Produkt

KlappentextOver 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.
Zusammenfassung
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.
Details
ISBN/GTIN978-0-387-98957-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2000
Erscheinungsdatum05.05.2000
Auflage2000
ReiheStatistics and Computing
Seiten528 Seiten
SpracheEnglisch
Gewicht920 g
IllustrationenXVI, 528 p.
Artikel-Nr.11846820

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr
Kritik
"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)mehr

Autor

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.
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