Estimation for Unknown Parameters of the Extended Burr Type-XII Distribution Based on Type-I Hybrid Progressive Censoring Scheme

摘要

In this paper, Bayesian and non-Bayesian estimations are used to make point and interval estimations for extended Burr Type-XII distribution in case of Type-I hybrid progressive censoring scheme. Markov Chain Monte Carlo (MCMC) approximation is needed to solve the complicated integrations in the case of Bayesian techniques. Numerical results using generation data sets are presented.