000			02926nam a2200373Ia 4500
001			CAH0KE11817PDF
003			BD-DhSAU
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007			cr||||
008			111202s2012 fluad sb 001 0 eng d
020			_a9781439839553 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aQA279.5 _b.W655 2012
092			_a519.542028553 _bW912
100	1		_aWoodward, Phillip.
245	1	0	_aBayesian analysis made simple _h[electronic resource] : _ban Excel GUI for WinBUGS / _cPhil Woodward.
260			_aBoca Raton, Fla. : _bCRC Press, _cc2012.
300			_axx, 342 p. : _bill.
490	1		_aChapman & Hall/CRC biostatistics series ; _v45
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references (p. 335-339) and index.
505	0		_a1. Brief introduction to statistics, Bayesian methods, and WinBUGS -- 2. BugsXLA overview and reference manual -- 3. Normal linear models -- 4. Generalized linear models -- 5. Normal linear mixed models -- 6. Generalized linear mixed models -- 7. Emax or four-parameter logistic non-linear models -- 8. Bayesian variable selection -- 9. Longitudinal and repeated measures models -- 10. Robust models -- 11. Beyond BugsXLA : extending the WinBUGS code.
520			_a"Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues.From simple NLMs to complex GLMMs and beyond, Bayesian Analysis Made Simple describes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists"-- _cProvided by publisher.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
630	0	0	_aMicrosoft Excel (Computer file)
630	0	0	_aWinBUGS.
650		0	_aBayesian statistical decision theory.
655		7	_aElectronic books. _2lcsh
776	1		_z9781439839546 (hardback)
830		0	_aChapman & Hall/CRC biostatistics series ; _v45.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439839553 _qapplication/PDF
999			_c12159 _d12158