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Mixed models = theory and applicatio...

Demidenko, Eugene, (1948-)

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Mixed models = theory and applications with R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mixed models/ Eugene Demidenko.
Reminder of title:	theory and applications with R /
Author:	Demidenko, Eugene,
Published:	Hoboken :Wiley, : 2013.,
Description:	1 online resource.
[NT 15003449]:	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.
Subject:	Analysis of variance. -
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9781118651537
ISBN:	9781118651537 (electronic bk.)

Mixed models = theory and applications with R /
Demidenko, Eugene,1948-

Mixed modelstheory and applications with R /[electronic resource] :Eugene Demidenko. - 2nd ed. - Hoboken :Wiley,2013. - 1 online resource. - Wiley series in probability and statistics ;893. - Wiley series in probability and statistics ;755..

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.

"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"--

ISBN: 9781118651537 (electronic bk.)

LCCN: 2013013415Subjects--Topical Terms:

516400
Analysis of variance.

LC Class. No.: QA279

Dewey Class. No.: 519.538

Mixed models = theory and applications with R /
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100 1 $a Demidenko, Eugene, $d 1948- $3 2147982
245 1 0 $a Mixed models $h [electronic resource] : $b theory and applications with R / $c Eugene Demidenko.
250 $a 2nd ed.
260 $a Hoboken : $b Wiley, $c 2013.
300 $a 1 online resource.
490 1 $a Wiley series in probability and statistics ; $v 893
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher; resource not viewed.
650 0 $a Analysis of variance. $3 516400
830 0 $a Wiley series in probability and statistics ; $v 755. $3 2146962
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118651537