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A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation
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AI
DOI：10.1080/00224065.2024.2443088.png)
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Abstract
En 中文
In this article, we focus on the basic Bayesian reliability model of a sophisticated system involving an arbitrary fault tree. We place priors on the reliability of each component in the system and then explain why a simple and exact algorithm introduced by Rubin (1984). Bayesianly justifiable and relevant frequency calculations for the applied statistician. The Annals of Statistics. 12(4), 1151-1172) is a preferable strategy for calculating the posterior distribution of system reliability.
Keywords:
approximate Bayesian computation
exact sampling
Monte Carlo methods
Journal
IF:
2.2
Papers:
57
Citations:
2.9K
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