02451     2200337   4500001002100000005001500021035002000036008004100056020001500097041000800112082001200120084001800132100002700150245007500177260004400252300003700296500002600333504001700359520145700376650002801833650001801861990002601879990002601905990002601931990002601957990002601983990002602009990002602035990002602061990002602087INLIS00000000000311220221112091706  a0010-0520003112221112                |          | eng    a0470855029  aeng  a519.542  a519.542 SIN r0 aSingpurwalla, Nozer D.1 aReliability and Risk : A Bayesian Perspective /cNozer D. Singpurwalla  aWest Sussex :bJohn Wiley & Sons,c2006  axiv, 371 p. :b: illus. ;c26 cm  aIndeks : p. 365 - 371  ap. 349 - 363  aThis book provides a comprehensive overview of the mathematical and statistical aspects of risk and realibility analysis, from a Bayesian perspective. It sets out to change the way in which they think about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by : 1.) Providing a broad coverage of the diverse aspects af reliability, including: multivariate failure models, dynamic reliability, event history analysis, non-parametic Bayes, competing risks, co-operative and competing systems, and signature analysis. 2.) Covering the essentials of Bayesdian statistics and exchangeability, enabling readers who are unfamiliar with Bayesian inference to benefit from the book. 3.) Introducing the notion of "composite reliability", or the collective reliability of a population of items. 4.) Discussing the relationship between notion of realibility and survival analysis and econometrics and financial risk. The book, can most profitably be used by practitioners and research workers in realibility and survivability as a source of information, reference, and open problems. It can also form the basis of a graduate level course in reliability and risk analysis for students in statistics, biostatistics, engineering (industrial, nuclear, systems), operations researsh, and other mathematically oriented sciences, wherein the instructor could supplement the material with examples and problems. 4aMathematical statistics 4aProbabilities  a11459/MKRI-P/XII-2008  a11460/MKRI-P/XII-2008  a11461/MKRI-P/XII-2008  a11461/MKRI-P/XII-2008  a11459/MKRI-P/XII-2008  a11460/MKRI-P/XII-2008  a11460/MKRI-P/XII-2008  a11459/MKRI-P/XII-2008  a11461/MKRI-P/XII-2008