000			05547cam a2200661Ii 4500
001			on1090242318
003			OCoLC
005			20220711203509.0
006			m o d
007			cr cnu|||unuuu
008			190320s2019 nju ob 001 0 eng d
040			_aDG1 _beng _erda _epn _cDG1 _dN$T _dYDX _dEBLCP _dRECBK _dMERER _dUKAHL _dOCLCF _dOCLCQ _dUMI
019			_a1090761424 _a1090905376 _a1090912724 _a1119557595
020			_a9781119287995 _q(electronic bk. ; _qoBook)
020			_a1119287995 _q(electronic bk. ; _qoBook)
020			_a9781119287988 _q(electronic bk.)
020			_a1119287987 _q(electronic bk.)
020			_z9781119287971 _q(print)
020			_z1119287979
020			_a9781119288008
020			_a1119288002
024	7		_a10.1002/9781119287995 _2doi
029	1		_aAU@ _b000065218959
029	1		_aCHNEW _b001048827
029	1		_aCHVBK _b565572261
035			_a(OCoLC)1090242318 _z(OCoLC)1090761424 _z(OCoLC)1090905376 _z(OCoLC)1090912724 _z(OCoLC)1119557595
037			_aCL0501000070 _bSafari Books Online
050		4	_aQA279.5
072		7	_aMAT _x003000 _2bisacsh
072		7	_aMAT _x029000 _2bisacsh
082	0	4	_a519.5/42 _223
049			_aMAIN
100	1		_aLiu, Yan, _eauthor. _98232
245	1	0	_aPractical applications of Bayesian reliability / _cYan Liu, Athula I. Abeyratne.
264		1	_aHoboken, NJ : _bWiley, _c2019.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aWiley series in quality and reliability engineering
505	0		_aBasic Concepts of Reliability Engineering -- Basic Concepts of Bayesian Statistics and Models -- Bayesian Computation -- Reliability Distributions (Bayesian Perspective) -- Reliability Demonstration Testing -- Capability and Design for Reliability -- System Reliability Bayesian Model -- Bayesian Hierarchical Model -- Regression Models -- Appendix A Guidance for Installing R, R Studio, JAGS, and rjags -- Appendix B Commonly Used R Commands -- Appendix C Probability Distributions -- Appendix D Jeffreys Prior.
504			_aIncludes bibliographical references and index.
588	0		_aOnline resource; title from PDF title page (John Wiley, viewed March 20, 2019).
520			_aDemonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding. Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.-Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology -Educates managers on the potential of Bayesian reliability models and associated impact -Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications -Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies -JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.
650		0	_aBayesian statistical decision theory. _98233
650		0	_aReliability (Engineering) _xStatistical methods. _93626
650		7	_aMATHEMATICS _xApplied. _2bisacsh _95811
650		7	_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh _95812
650		7	_aBayesian statistical decision theory. _2fast _0(OCoLC)fst00829019 _98233
650		7	_aReliability (Engineering) _xStatistical methods. _2fast _0(OCoLC)fst01093658 _93626
655		4	_aElectronic books. _93294
700	1		_aAbeyratne, Athula I., _eauthor. _98234
776	0	8	_iPrint version: _aLiu, Yan. _tPractical applications of Bayesian reliability. _dHoboken, NJ : Wiley, 2019 _z1119287979 _z9781119287971 _w(OCoLC)1031458625
830		0	_aWiley series in quality and reliability engineering. _98055
856	4	0	_uhttps://doi.org/10.1002/9781119287995 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69047 _d69047