000			03094nam a22004215i 4500
001			297059
003			MX-SnUAN
005			20160429155400.0
007			cr nn 008mamaa
008			150903s2008 gw | o |||| 0|eng d
020			_a9783540742272 _99783540742272
024	7		_a10.1007/9783540742272 _2doi
035			_avtls000350780
039		9	_a201509030430 _bVLOAD _c201405060240 _dVLOAD _y201402171105 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA276-280
100	1		_aRao, C. Radhakrishna. _eautor _9332542
245	1	0	_aLinear Models and Generalizations : _bLeast Squares and Alternatives / _cby C. Radhakrishna Rao, Shalabh, Helge Toutenburg, Christian Heumann.
250			_aThird Extended Edition.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringer Series in Statistics, _x0172-7397
500			_aSpringer eBooks
505	0		_aThe Simple Linear Regression Model -- The Multiple Linear Regression Model and Its Extensions -- The Generalized Linear Regression Model -- Exact and Stochastic Linear Restrictions -- Prediction in the Generalized Regression Model -- Sensitivity Analysis -- Analysis of Incomplete Data Sets -- Robust Regression -- Models for Categorical Response Variables.
520			_aThis book provides an up-to-date account of the theory and applications of linear models. It can be used as a text for courses in statistics at the graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. Some of the highlights include: sensitivity analysis and model selection, analysis of incomplete data, analysis of categorical data based on a unified presentation of generalized linear models including GEE- and full likelihood methods for correlated response, an extensive appendix on matrix theory, useful to researchers in econometrics, engineering and optimization theory. For this third edition the text has been extensively revised and contains the latest developments in the area of linear models.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aShalabh. _eautor _9314330
700	1		_aToutenburg, Helge. _eautor _9314331
700	1		_aHeumann, Christian. _eautor _9332543
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540742265
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-74227-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c297059 _d297059