Mixed-effects models in S and S-PLUS
Author(s)
Bibliographic Information
Mixed-effects models in S and S-PLUS
（Statistics and computing）
Springer, c2000
- : pbk
- : pbk
- Other Title
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Mixed effects models in S and S-PLUS
Available at / 34 libraries
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Library of Education, National Institute for Educational Policy Research
: pbk418.8||120092100373
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Hiroshima University Central Library, Interlibrary Loan
007.6:P-66/HL4010004000409963,
: pbk417:P-660500410087 -
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Linear Mixed-Effects * Theory and Computational Methods for LME Models * Structure of Grouped Data * Fitting LME Models * Extending the Basic LME Model * Nonlinear Mixed-Effects * Theory and Computational Methods for NLME Models * Fitting NLME Models
by "Nielsen BookData"