Statistical inference for the burr type III distribution under type II censored data

Abstract

In this study, estimation and prediction problems for the Burr typeIII distribution under type II censored data are considered. Maximum likelihood and maximum product spacing estimation methods are used to estimatemodel parameters. EM algorithm is employed to obtain maximum likelihoodestimates. Unobserved future order statistics are predicted with best unbiasedprediction method. A simulation study is carried out to exhibit performanceof the estimation methods. Further, a numerical example is presented to illustrate the usefulness of the Burr III distribution