BAYESIAN STUDY OF A TWO-COMPONENT SYSTEM WITH COMMON-CAUSE SHOCK FAILURES

V. S. S. Yadavalli, A. Bekker and J. Pauw
Additional contact information
V. S. S. Yadavalli: Department of Industrial & System Engineering, University of Pretoria, Pretoria 0002, South Africa
A. Bekker: Department of Statistics, University of South Africa, P O Box 392, 0003 UNISA, South Africa
J. Pauw: Department of Statistics, University of Pretoria, Pretoria 0002, South Africa

Asia-Pacific Journal of Operational Research (APJOR), 2005, vol. 22, issue 01, 105-119

Abstract: The steady-state availability of a two-component system in series and parallel subject to individual failures (I-failures) and common-cause shock (CCS) failures is studied from a Bayesian viewpoint with different types of priors assumed for the unknown parameters in the system. Monte Carlo simulation is used to derive the posterior distribution for the steady-state availability and subsequently the highest posterior density intervals. A numerical example illustrates the results.

Keywords: Bayes estimation; beta prior; CCS failures; exponential distribution; gamma prior; Jeffreys' prior; steady-state availability; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595905000480

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