BAYESIAN PREDICTION OF PROGRESSIVELY FIRST-FAILURE-CENSORED ORDER STATISTICS BASED ON k-RECORD VALUES FROM WEIBULL DISTRIBUTION

Abstract

Prediction on the basis of censored data has an important role in lifetime studies. This paperdiscusses Bayesian two-sample prediction of progressively rst-failure-censored order statistics coming from afuture sample based on observed k-record values from two-parameter Weibull distribution. Bayesian intervalpredictions are obtained based on a continuous-discrete joint prior for the unknown two parameters. More-over, Bayesian point predictors are investigated under symmetric and asymmetric loss functions. Finally, theestimated risks of various point predictors obtained are compared using the Monte Carlo method.