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...
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken :
Wiley,
2013.
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| Edition: | Second [edition]. |
| Series: | Wiley series in probability and statistics ;
893. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| 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: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118592991 1118592999 9781118593066 1118593065 9781118593011 1118593014 9781118651537 1118651537 1118091574 9781118091579 |
| DOI: | 10.1002/9781118651537 |
