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http://dx.doi.org/10.5351/CSAM.2013.20.6.427

Bayesian Prediction of Exponentiated Weibull Distribution based on Progressive Type II Censoring  

Jung, Jinhyouk (Department of Analytics, Diloitte Consulting Korea)
Chung, Younshik (Department of Statistics, Pusan National University)
Publication Information
Communications for Statistical Applications and Methods / v.20, no.6, 2013 , pp. 427-438 More about this Journal
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;
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