Maximum Likelihood Estimation of Component Reliability Using Masked Series System Lifetime Data

Abstract

We consider the estimation of component reliability measures using incomplete series system life test data when the lifetime of each component follows a ‘family of lifetime distributions’ which covers several distributions as special cases. Using maximum likelihood approach, ML estimates and asymptotic confidence intervals for the parameters included in that family are obtained. The performance of estimators is illustrated by simulation study.