Mixed models : theory and applications with R / / Eugene Demidenko.
"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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| TeilnehmendeR: | |
| Year of Publication: | 2013 |
| Edition: | 2nd ed. |
| Language: | English |
| Series: | Wiley series in probability and statistics ;
893 |
| Online Access: | |
| Physical Description: | xxvii, 717 p. :; ill. |
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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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| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118593066 (electronic bk.) 9781118091579 (hardback) |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Eugene Demidenko. |