期刊名称：International Journal of Advanced Statistics and Probability
电子版ISSN：2307-9045
出版年度：2013
卷号：1
期号：2
页码：32-43
DOI：10.14419/ijasp.v1i2.857
出版社：Journal of Advanced Computer Science & Technology
摘要：In this paper, we have discussed the Bayesian procedure for the prediction of the future samples from inverse Weibull (IW) distribution under Type-II hybrid censoring scheme. Bayes estimators along with the corresponding highest posterior density (HPD) credible intervals have also been constructed for the parameters of IW distribution. The performance of the Bayes estimators of the model parameters has been compared with the maximum likelihood estimators through Monte Carlo Markov chain (MCMC) techniques. Finally, a real data set has been analyzed to illustrate the discussed methodology. Normal 0 false false false EN-IN X-NONE X-NONE
