On Bayesian analysis of Burr type VII distribution under different censoring schemes (Q1953806)

Summary: This paper includes the Bayesian analysis of Burr type VII distributions. Three censoring schemes, namely, left censoring, singly type II censoring, and doubly type II censoring have been used for posterior estimation. The results of different censoring schemes have been compared with those under complete samples. A comparative study among the performance of different censoring schemes has also been made. Two noninformative (uniform and Jeffreys) priors have been assumed to derive the posterior distributions for each case. The performance of Bayes estimators has been compared in terms of posterior risks in a simulation study.