Bayes estimators of the reliability function and parameter of inverted exponential distribution using informative and non-informative priors

AbstractIn this paper, we propose Bayes estimators of the parameter and reliability function of inverted exponential distribution under the general entropy loss function for complete, type I and type II censored samples. The proposed estimators have been compared with the corresponding maximum-likelihood estimators for their simulated risks (average loss over sample space).Keywords: Bayesian inferencecensored datacomputer-intensive methodssurvival analysis AcknowledgementsThe authors thank the referees and editor for their valuable comments and suggestions for improving the paper. The third author (Dinesh Kumar) thanks CSIR, New Delhi, India, for providing financial assistance. The authors also thank DST-CIMS, B. H. U., Varanasi, India, for providing computational facilities.