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Mixed-Effects Models in S and S-PLUS (Statistics and Computing)
US $136.10
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eBay item number:266792891095
Item specifics
- Condition
- ISBN
- 9780387989570
- Subject Area
- Mathematics, Computers
- Publication Name
- Mixed-Effects Models in Sand S-Plus
- Publisher
- Springer New York
- Item Length
- 9.3 in
- Subject
- Mathematical & Statistical Software, Probability & Statistics / General, Databases / General, Compilers
- Publication Year
- 2000
- Series
- Statistics and Computing Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 34.6 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xvi, 528 Pages
About this product
Product Identifiers
Publisher
Springer New York
ISBN-10
0387989579
ISBN-13
9780387989570
eBay Product ID (ePID)
1655441
Product Key Features
Number of Pages
Xvi, 528 Pages
Language
English
Publication Name
Mixed-Effects Models in Sand S-Plus
Subject
Mathematical & Statistical Software, Probability & Statistics / General, Databases / General, Compilers
Publication Year
2000
Type
Textbook
Subject Area
Mathematics, Computers
Series
Statistics and Computing Ser.
Format
Hardcover
Dimensions
Item Height
0.5 in
Item Weight
34.6 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
99-053566
Reviews
"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)
Number of Volumes
1 vol.
Illustrated
Yes
Table Of 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.
Synopsis
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. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling software, and theory makes the 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., 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., 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. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented., "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)
LC Classification Number
QA76.9.D3
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