| 000 | 04028cam a2200745 i 4500 | ||
|---|---|---|---|
| 001 | ocn835118592 | ||
| 003 | OCoLC | ||
| 005 | 20171107081347.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 130401s2013 nju ob 001 0 eng | ||
| 010 | _a 2013013415 | ||
| 020 |
_a9781118592991 _q(epub) |
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_a1118592999 _q(epub) |
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_a9781118593066 _q(pdf) |
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_a1118593065 _q(pdf) |
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| 020 |
_a9781118593011 _q(mobi) |
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| 020 |
_a1118593014 _q(mobi) |
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| 020 | _a9781118651537 | ||
| 020 | _a1118651537 | ||
| 020 |
_a1118091574 _q(hardback) |
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| 020 |
_a9781118091579 _q(hardback) |
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| 020 |
_z9781118091579 _q(hardback) |
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_a(OCoLC)835118592 _z(OCoLC)880871175 _z(OCoLC)960200951 _z(OCoLC)966356263 _z(OCoLC)966371037 _z(OCoLC)966371096 |
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| 040 |
_aDLC _beng _erda _epn _cDLC _dN$T _dEBLCP _dE7B _dUPM _dDG1 _dOCLCF _dCUS _dCDX _dYDXCP _dAU@ _dDEBSZ _dCOO _dOCLCQ _dLOA _dDG1 |
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| 049 | _aMAIN | ||
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| 100 | 1 |
_aDemidenko, Eugene, _d1948- |
|
| 245 | 1 | 0 |
_aMixed models : theory and applications with R / _cEugene Demidenko. _h[electronic resource] |
| 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 |
|
| 504 | _aIncludes bibliographical references and index. | ||
| 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. | |
| 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. |
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| 588 | 0 | _aPrint version record and CIP data provided by publisher. | |
| 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://onlinelibrary.wiley.com/book/10.1002/9781118651537 _zWiley Online Library |
| 942 |
_2ddc _cBK |
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| 999 |
_c206625 _d206625 |
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