Bayes success-run theorem

A useful method, based on the binomial distribution, that can be used to determine an appropriate risk-based sample size for process validations. The Bayes success-run theorem is as follows: R = (1 − C)^(1/n), whereR = reliability (or probability of success), C = confidence level, and n is the sample size.