Abstract

This paper considers a multiply type II censored sample from the two-parameter Weibull distribution. Using a generalized non-informative prior, Bayes estimators of parameters such as scale, shape, reliability and hazard functions are proposed. The proposed estimators are compared with the corresponding maximum likelihood estimators obtained using EM algorithm. The results are illustrated on the basis of simulated as well as the real data sets.

Author: Puneet K. Srivastava, Akanksha Gupta, S. K. Upadhyay

Received on: November, 2011