000			03686cam a2200505Ka 4500
001			ocn746326250
003			OCoLC
005			20171116110455.0
006			m o d
007			cr cn|||||||||
008			110811s2011 nju ob 001 0 eng d
020			_a9780470094846 _q(electronic bk.)
020			_a0470094842 _q(electronic bk.)
029	1		_aAU@ _b000052899564
029	1		_aDKDLA _b820120-katalog:000572625
029	1		_aNZ1 _b13799192
029	1		_aNZ1 _b15341340
029	1		_aDEBBG _bBV043393404
035			_a(OCoLC)746326250
037			_a10.1002/9780470094846 _bWiley InterScience _nhttp://www3.interscience.wiley.com
040			_aDG1 _beng _cDG1 _dYDXCP _dOCLCQ _dOCLCO _dOCLCQ _dDEBBG
049			_aMAIN
050	1	4	_aQA276.8 _b.M55 2011
082	0	4	_a519.5/44 _222
100	1		_aMillar, R. B. _q(Russell B.)
245	1	0	_aMaximum likelihood estimation and inference : with examples in R, SAS, and ADMB / _cRussell B. Millar. _h[electronic resource]
260			_aHoboken, N.J. : _bWiley, _c©2011.
300			_apages
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aFront Matter -- Preliminaries. A Taste of Likelihood -- Essential Concepts and Iid Examples -- Pragmatics. Hypothesis Tests and Confidence Intervals or Regions -- What you Really need to Know -- Maximizing the Likelihood -- Some Widely Used Applications of Maximum Likelihood -- Generalized Linear Models and Extensions -- Quasi-Likelihood and Generalized Estimating Equations -- ML Inference in the Presence of Incidental Parameters -- Latent Variable Models -- Theoretical Foundations. Cram̌r-Rao Inequality and Fisher Information -- Asymptotic Theory and Approximate Normality -- Tools of the Trade -- Fundamental Paradigms and Principles of Inference -- Miscellanea -- Appendix: Partial Solutions to Selected Exercises -- Bibliography -- Index -- Statistics in Practice.
520			_a"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"-- _cProvided by publisher.
520			_a"This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"-- _cProvided by publisher.
533			_aElectronic reproduction. _bHoboken, N.J. : _cWiley InterScience, _d2011. _nMode of access: World Wide Web. _nSystem requirements: Web browser. _nTitle from title screen (viewed on Aug. 2, 2011). _nAccess may be restricted to users at subscribing institutions.
650		0	_aEstimation theory.
650		0	_aChance _xMathematical models.
650		7	_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh
655		4	_aElectronic books.
710	2		_aWiley InterScience (Online service)
776	0	8	_iPrint version: _aMillar, R.B. (Russell B.). _tMaximum likelihood estimation and inference. _dHoboken, N.J. : Wiley, ©2011 _z9780470094822 _w(DLC) 2011013225 _w(OCoLC)690090037
856	4	0	_uhttp://onlinelibrary.wiley.com/book/10.1002/9780470094846 _zWiley Online Library
942			_2ddc _cBK
999			_c205213 _d205213