On a "Two-Stage" Bayesian Procedure for Determining ailure Rates from Experimental Data

Abstract

A process is described for analyzing failure data in which Bayes' theorem is used twice, firstly to develop a "prior" or "generic" probability distribution and secondly to specialize this distribution to the specific machine or system in question. The process is shown by examples to be workable in practice as well as simple and elegant in concept.