Mixed models theory and applications with R /
"Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models' statistical properties and nume...
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| Main Author: | |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken :
Wiley,
2013.
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| Edition: | 2nd ed. |
| Series: | Wiley series in probability and statistics ;
893 |
| Subjects: | |
| Online Access: | An electronic book accessible through the World Wide Web; click to view |
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| Summary: | "Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models' statistical properties and numerical algorithms, as well as applications such as the analysis of tumor regrowth, shape, and image. The new edition includes significant updating, over 300 exercises, stimulating chapter projects and model simulations, inclusion of R subroutines, and a revised text format. The target audience continues to be graduate students and researchers. An author-maintained web site is available with solutions to exercises and a compendium of relevant data sets"-- |
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| Physical Description: | xxvii, 717 p. : ill. |
| Bibliography: | Includes bibliographical references and index. |