000			03308nam a22004695i 4500
001			978-0-387-47946-0
003			DE-He213
005			20250710084001.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387479460 _a99780387479460
024	7		_a10.1007/978-0-387-47946-0 _2doi
082	0	4	_a519.5 _223
100	1		_aJiang, Jiming. _eauthor.
245	1	0	_aLinear and Generalized Linear Mixed Models and Their Applications _h[recurso electrónico] / _cby Jiming Jiang.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_aXIV, 257 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Statistics, _x0172-7397
505	0		_aLinear Mixed Models: Part I -- Linear Mixed Models: Part II -- Generalized Linear Mixed Models: Part I -- Generalized Linear Mixed Models: Part II.
520			_aThis book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it has included recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models. The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis. The book is suitable for a course in a M.S. program in statistics, provided that the section of further results and technical notes in each of the first four chapters is skipped. If these four sections are included, the book may be used for a course in a Ph. D. program in statistics. A first course in mathematical statistics, the ability to use computers for data analysis, and familiarity with calculus and linear algebra are prerequisites. Additional statistical courses such as regression analysis and a good knowledge about matrices would be helpful. Jiming Jiang is Professor of Statistics and Director of the Statistical Laboratory at UC-Davis. He is a prominent researcher in the fields of mixed effects models and small area estimation, and co-receiver of the Chinese National Natural Science Award and American Statistical Association's Outstanding Statistical Application Award.
650		0	_aSTATISTICS.
650		0	_aGENETICS _xMATHEMATICS.
650		0	_aNUMERICAL ANALYSIS.
650		0	_aMATHEMATICAL STATISTICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICAL THEORY AND METHODS.
650	2	4	_aPUBLIC HEALTH/GESUNDHEITSWESEN.
650	2	4	_aNUMERICAL ANALYSIS.
650	2	4	_aGENETICS AND POPULATION DYNAMICS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387479415
830		0	_aSpringer Series in Statistics, _x0172-7397
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-47946-0 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c57755 _d57755