Reliability Nonparametric Bayesian Estimation in Parallel Systems
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
Relevant results for (sub-)distribution functions related to parallel systems are discussed. The reverse hazard rate is defined using the product integral. Consequently, the restriction of absolute continuity for the involved distributions can be relaxed. The only restriction is that the sets of discontinuity points of the parallel distributions have to be disjointed. Nonparametric Bayesian estimators of all survival (sub-)distribution functions are derived. Dual to the series systems that use minimum life times as observations, the parallel systems record the maximum life times. Dirichlet multivariate processes forming a class of prior distributions are considered for the nonparametric Bayesian estimation of the component distribution functions, and the system reliability. For illustration, two striking numerical examples are presented. CNPq[300365/1981-0] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) |
Identificador |
IEEE TRANSACTIONS ON RELIABILITY, v.58, n.2, p.364-373, 2009 0018-9529 http://producao.usp.br/handle/BDPI/30494 10.1109/TR.2009.2019493 |
Idioma(s) |
eng |
Publicador |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Relação |
Ieee Transactions on Reliability |
Direitos |
restrictedAccess Copyright IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Palavras-Chave | #Dirichlet multivariate processes #distribution function #parallel systems #reversed hazard rate #sub-distribution function #REVERSED HAZARD RATE #COMPETING-RISKS #LIFE #MODELS #Computer Science, Hardware & Architecture #Computer Science, Software Engineering #Engineering, Electrical & Electronic |
Tipo |
article original article publishedVersion |