000			02319nam a2200385Ii 4500
001			CAH0KE13206PDF
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008			131227t20142014flua ob 001 0 eng d
020			_a9781439866849 (ebook : PDF)
040			_aBD-DhSAU _beng _cBD-DhSAU _erda
090			_aQA278.2 _b.H635 2013
092			_a519.536 _bH688
100	1		_aHodges, James S., _eauthor.
245	1	0	_aRichly parameterized linear models : _badditive, time series, and spatial models using random effects / _cJames S. Hodges.
264		1	_aBoca Raton : _bChapman and Hall/CRC, _c[2014]
264		4	_c�2014
300			_a1 online resource : _btext file, PDF
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aChapman & Hall/CRC texts in statistical science series
504			_aIncludes bibliographical references and index.
505	0		_a1. Mixed linear models : syntax, theory, and methods -- 2. Richly parameterized models as mixed linear models -- 3. From linear models to richly parameterized models : mean structure -- 4. Beyond linear models : variance structure.
520			_a"This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models to data. It extends the standard theory of linear models and illustrates the advantages and disadvantages of various theories. The book also examines surprising or undesirable results arising in the use of the models to analyze real data sets from collaborative research"-- _cProvided by publisher.
530			_aAlso available in print format.
650		0	_aRegression analysis _vTextbooks.
650		0	_aLinear models (Statistics) _vTextbooks.
655		7	_aElectronic books. _2lcsh
776	0	8	_iPrint version: _z9781439866832 (hardback)
830		0	_aTexts in statistical science.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439866849 _qapplication/PDF
999			_c11392 _d11391