Bayesian inference under progressive type-I interval censoring |
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Authors: | Yu-Jau Lin |
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Institution: | Department of Applied Mathematics , Chung-Yuan Christian University , Chung-Li , Taiwan, ROC |
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Abstract: | Bayesian estimation for population parameter under progressive type-I interval censoring is studied via Markov Chain Monte Carlo (MCMC) simulation. Two competitive statistical models, generalized exponential and Weibull distributions for modeling a real data set containing 112 patients with plasma cell myeloma, are studied for illustration. In model selection, a novel Bayesian procedure which involves a mixture model is proposed. Then the mix proportion is estimated through MCMC and used as the model selection criterion. |
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Keywords: | MLE Metropolis–Hastings algorithm Gibbs schemes |
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