Distribution‐free inferences on system reliability

Describes how sampling distribution of the estimates of the reliability functions for various failure time distributions is either hard to obtain or is quite complicated and, as such, it becomes difficult to draw inferences about the reliability of a system. To overcome this situation, presents some distribution‐free inference techniques on system reliability and gives Bayesian reliability analysis using conjugate priors.