BAYESIAN ESTIMATION AND PREDICTION BASED ON GENERALIZED ORDER STATISTICS FROM WIEBULL MODEL

摘要

This paper, discussed a comparison of Bayesian estimators using two different loss functions, namely a symmetric squared-error loss function and an asymmetric linear-exponential loss function for Weibull model based on generalized order statistics. Estimation the parameters of life are considered. Bayes predictive estimator and highest posterior density prediction interval for future observations are also derived. Additionally some recently published results on Bayesian estimation using progressive censoring data and record date are shown to be special cases of our results.