Table of Contents
International Journal of Quality, Statistics, and Reliability
Volume 2012, Article ID 248146, 5 pages
Research Article

On Bayesian Analysis of Burr Type VII Distribution under Different Censoring Schemes

1Department of Mathematics and Statistics, AIOU, Islamabad 44000, Pakistan
2Department of Statistics, Quaid-i-Azam University, Islamabad 44000, Pakistan

Received 25 July 2012; Accepted 30 October 2012

Academic Editor: Hongzhong Huang

Copyright © 2012 Navid Feroze and Muhammad Aslam. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper includes the Bayesian analysis of Burr type VII distribution. 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. The 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 under each case. The performance of Bayes estimators has been compared in terms of posterior risks under a simulation study.