000			04033cam a2200745Mi 4500
001			on1076716258
003			OCoLC
005			20220517104824.0
006			m d
007			cu uuu---auuuu
008			160623s2015 xx ob 000 u eng d
040			_aLVT _beng _epn _erda _cLVT _dYDXCP _dJSTOR _dOCLCF _dAQ3 _dOTZ _dMERER _dLOA _dSOI _dEBLCP _dLND _dMERUC _dIDB _dWY@ _dCCO _dU3W _dK6U _dCOCUF _dICG _dOAPEN _dZCU _dWRM _dSTF _dICN _dVT2 _dEZ9 _dERL _dWYU _dTKN _dOCLCQ _dOCLCO _dTXR _dCNTRU _dNJT _dOCLCQ _dDIPCC _dUKKNU _dBRF _dUWK _dOCLCQ _dSFB _dERD _dOCLCQ _dN$T
019			_a946217739 _a1159387539 _a1166137554
020			_a9781921934254
020			_a1921934255
020			_a1921934263 _q(electronic bk.)
020			_a9781921934261 _q(electronic bk.)
024	7		_a10.26530/OAPEN_611011 _2doi
035			_a3093422 _b(N$T)
035			_a(OCoLC)1076716258 _z(OCoLC)946217739 _z(OCoLC)1159387539 _z(OCoLC)1166137554
037			_a22573/ctt1bh26x1 _bJSTOR
050		4	_aQA279.5 _b.B39 2015eb
072		7	_aPB _2bicssc
072		7	_aPBT _2bicssc
072		7	_aPBTB _2bicssc
082	0	4	_a519.5/42 _223
049			_aMAIN
100	1		_aPuza, Borek. _4aut _950725
245	1	0	_aBayesian Methods for Statistical Analysis.
264		1	_bANU Press _c2015.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file
520			_aBayesian methods for statistical analysis¡is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
546			_aEnglish.
504			_aIncludes bibliographical references.
505	0		_a1. Bayesian basics part 1 -- 2. Bayesian basics part 2 -- 3. Bayesian basics part 3 -- 4. Computational tools -- 5. Monte Carlo basics -- 6. MCMC methods part 1 -- 7. MCMC methods part 2 -- 8. Inference via WinBUGS -- 9. Bayesian finite population theory -- 10. Normal finite population models -- 11. Transformations and other topics -- 12. Biased sampling and nonresponse -- Appendix A: Additional exercises -- Appendix B: Distributions and notation -- Appendix C: Abbreviations and acronyms.
590			_aAdded to collection customer.56279.3
650		0	_aBayesian statistical decision theory.
650		7	_aMathematics. _2bicssc
650		7	_aProbability & statistics. _2bicssc _91195
650		7	_aBayesian inference. _2bicssc _950726
650		7	_aMathematics / Probability & Statistics / Bayesian Analysis. _2bisacsh _950727
650		7	_aMathematics / Probability & Statistics. _2bisacsh _950728
650		7	_aMathematics. _2bisacsh
650		7	_aBayesian statistical decision theory. _2fast _0(OCoLC)fst00829019
653			_astatistics.
653			_amathematics.
653			_abayesian inference.
653			_aprobability.
655		4	_aElectronic books.
776	0	8	_iPrint version: _aPuza, Borek. _tBayesian methods for statistical analysis. _dAustralia : Australian National University, ©2015 _hxvii, 679 pages _z9781921934254
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3093422
938			_aEBL - Ebook Library _bEBLB _nEBL5046639
938			_aKnowledge Unlatched _bKNOW _ncb227966-bd6b-4dbb-8348-4e5b7ce58c90
938			_aOAPEN Foundation _bOPEN _n611011
938			_aDCS UAT TEST 8 _bTEST _n611011
938			_aYBP Library Services _bYANK _n12938870
938			_aEBSCOhost _bEBSC _n3093422
942			_cEBK
994			_a92 _bN$T
999			_c8324 _d8324