TY  - BOOK
AU  - Demidenko,Eugene
TI  - Mixed models: theory and applications with R 
T2  - Wiley series in probability and statistics
SN  - 9781118592991
AV  - QA279 
U1  - 519.5/38 23
PY  - 2013///
CY  - Hoboken
PB  - Wiley
KW  - Analysis of variance
KW  - Mathematics
KW  - Statistical analysis
KW  - MATHEMATICS
KW  - Probability & Statistics
KW  - General
KW  - bisacsh
KW  - fast
KW  - Electronic books
KW  - local
N1  - Includes bibliographical references and index; Preface -- Preface to the Second Edition -- R software and functions -- Data Sets -- Open Problems in Mixed Models -- 1. Introduction: Why Mixed Models? -- 2. MLE for the LME Model -- 3. Statistical Properties of the LME Model -- 4. Growth Curve Model and Generalizations -- 5. Meta-analysis Model -- 6. Nonlinear Marginal Model -- 7. Generalized Linear Mixed Models -- 8. Nonlinear Mixed Effects Model -- 9. Diagnostics and Influence Analysis -- 10. Tumor Regrowth Curves -- 11. Statistical Analysis of Shape -- 12. Statistical Image Analysis -- 13. Appendix: Useful Facts and Formulas
N2  - "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"--
UR  - http://dx.doi.org/10.1002/9781118651537
ER  -