The use of known classical system reliability estimation methods to approximate the final solution in Bayesian methodology.

Abstract

This thesis examines three methods for calculating the 100(1- α)% lower confidence limits for the reliability of a K-sized series system. Assuming that each component reliability has a Beta distribution, identical posterior parameters A and B are assigned for each component.