This article presents a Bayesian model for assessing the reliability of systems with multiple components. This model has the advantage of naturally integrating data collected at any level with previous information. The model allows information to be pooled between similar components, expert opinion to be incorporated into the assessment and censored data to be handled in a straightforward manner. Two examples are provided.
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