Estimation of Reliability in Multi-Component Stress-Strength Model Following Burr-III Distribution

Abstract

In this paper, we estimate the multicomponent S out of K stress-strength
system reliability for Burr-III distribution. The research methodology
adopted here is to estimate the parameters by using maximum likelihood
ML, least square LS, weighted least square WLS, regression Rg and
moment MOM estimation. The reliability is estimated using the same
methods of estimation and results are compared by Monte-Carlo simulation
study using MSE and MAPE criteria, the results show that the ML was the
best between them.