Reliability Nonparametric Bayesian Estimation in Parallel Systems


Autoria(s): POLPO, Adriano; PEREIRA, Carlos A. B.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2009

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

http://dx.doi.org/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