000			02279nam a22003617i 4500
001			279469
003			UVAL
005			20240507121650.0
007			ta
008			140916s2015 nju b 001 0 eng
010			_a 2014036543
020			_a9781118730034
040			_aDIBRA _bspa _cUVAL _erda
041			_aeng
082	0	4	_a003.74 _223
100	1		_aAgresti, Alan, _eautor. _911823.
245	1	0	_aFoundations of linear and generalized linear models / _cAlan Agresti.
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons Inc., _cc2015.
300			_axiii, 444 páginas. .
347			_2rda _atext file _bPDF
490	0		_aWiley series in probability and statistics
500			_aIncluye índices.
504			_aBibliografía: páginas 410-426.
520			_a"This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover. Written by a prolific academic, researcher, and textbook writer, Foundations of Linear and Generalized Linear Models is soon to become the gold standard by which all existing textbooks on the topic will be compared. While the emphasis is clearly and succinctly on theoretical underpinnings, applications in "R" are presented when they help to elucidate the content or promote practical model building. Each chapter contains approximately 15-20 exercises, primarily for readers to practice and extend the theory, but, also to assimilate the ideas by doing some data analysis. The carefully crafted models and examples convey basic concepts and do not get mired down in non-trivial considerations. An author-maintained web site includes, among other numerous pedagogical supplements, analyses that parallel the "R" routines from the book in SAS, SPSS and Stata"-- _cProvided by publisher.
650	1	4	_aANALISIS MATEMATICO _xFUNDAMENTOS _988083.
650	1	4	_aMODELOS LINEALES (ESTADISTICA) _9208293.
650	1	4	_aMATEMATICAS _970034.
776	0	8	_iOnline version: _aAgresti, Alan, author. _tFoundations of linear and generalized linear models _dHoboken, New Jersey : John Wiley & Sons Inc., [2015] _z9781118730058 _w(DLC) 2014037471
942			_2ddc _cBK
999			_c279469 _d279469