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007 cr |||||||||||
008 130401s2013 nju ob 001 0 eng
010 _a 2013013415
040 _aDLC
_beng
_erda
_epn
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019 _a880871175
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020 _a9781118592991
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020 _a1118592999
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020 _a9781118593066
_q(pdf)
020 _a1118593065
_q(pdf)
020 _a9781118593011
_q(mobi)
020 _a1118593014
_q(mobi)
020 _a9781118651537
020 _a1118651537
020 _a1118091574
_q(hardback)
020 _a9781118091579
_q(hardback)
020 _z9781118091579
_q(hardback)
029 1 _aAU@
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029 1 _aCHBIS
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029 1 _aCHNEW
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035 _a(OCoLC)835118592
_z(OCoLC)880871175
_z(OCoLC)960200951
_z(OCoLC)966356263
_z(OCoLC)966371037
_z(OCoLC)966371096
042 _apcc
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082 0 0 _a519.5/38
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084 _aMAT029000
_2bisacsh
049 _aMAIN
100 1 _aDemidenko, Eugene,
_d1948-
245 1 0 _aMixed models :
_btheory and applications with R /
_cEugene Demidenko.
250 _aSecond [edition].
264 1 _aHoboken :
_bWiley,
_c2013.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aWiley series in probability and statistics ;
_v893
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"--
_cProvided by publisher.
504 _aIncludes bibliographical references and index.
588 0 _aPrint version record and CIP data provided by publisher.
505 0 _aPreface -- 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.
650 0 _aAnalysis of variance.
650 4 _aAnalysis of variance.
650 4 _aMathematics.
650 4 _aStatistical analysis.
650 7 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
_2bisacsh
650 7 _aAnalysis of variance.
_2fast
_0(OCoLC)fst00808330
655 4 _aElectronic books.
655 7 _aElectronic books.
_2local
776 0 8 _iPrint version:
_aDemidenko, Eugene, 1948-
_tMixed models.
_bSecond [edition].
_dHoboken : Wiley, 2013
_z9781118091579
_w(DLC) 2013001306
830 0 _aWiley series in probability and statistics ;
_v893.
856 4 0 _uhttp://dx.doi.org/10.1002/9781118651537
_zWiley Online Library
994 _a92
_bDG1
999 _c20377
_d20336