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Bayesian Prediction of Exponentiated Weibull Distribution based on Progressive Type II Censoring
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 Title & Authors
Bayesian Prediction of Exponentiated Weibull Distribution based on Progressive Type II Censoring
Jung, Jinhyouk; Chung, Younshik;
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 Abstract
Based on progressive Type II censored sampling which is an important method to obtain failure data in a lifetime study, we suggest a very general form of Bayesian prediction bounds from two parameters exponentiated Weibull distribution using the proper general prior density. For this, Markov chain Monte Carlo approach is considered and we also provide a simulation study.
 Keywords
Bayesian prediction bounds;exponentiated Weibull distribution;Gibbs sampling;Metropolis-Hastings algorithm;progressive Type II censoring;
 Language
English
 Cited by
1.
The Exponentiated Weibull-Geometric Distribution: Properties and Estimations,;;

Communications for Statistical Applications and Methods, 2014. vol.21. 2, pp.147-160 crossref(new window)
1.
The Exponentiated Weibull-Geometric Distribution: Properties and Estimations, Communications for Statistical Applications and Methods, 2014, 21, 2, 147  crossref(new windwow)
2.
Two-sample Prediction for Progressively Type-II Censored Weibull Lifetimes, Communications in Statistics - Simulation and Computation, 2015, 0  crossref(new windwow)
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