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- W2336118001 abstract "In this paper, the Bayesian prediction intervals for a future gos’s from a mixture of two components from a class of continuous distributions under generalized Type-I hybrid censoring scheme are computed. We consider the one sample prediction technique. A mixture of two Weibull components model is given as an application. Our results are specialized to upper order statistics and upper record values. The results obtained by using the Markov Chain Monte Carlo (MCMC) algorithm. Keywords: Generalized order statistics; Bayesian prediction; One-sample scheme; Finite mixtures; Generalized Type-I hybrid censoring scheme; MCMC algorithm." @default.
- W2336118001 created "2016-06-24" @default.
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- W2336118001 date "2016-01-05" @default.
- W2336118001 modified "2023-09-23" @default.
- W2336118001 title "Bayesian One Sample Prediction of Future GOS’s From A Class of Finite Mixture Distributions Based On Generalized Type-I Hybrid Censoring Scheme" @default.
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- W2336118001 doi "https://doi.org/10.0001/(aj).v3i0.692" @default.
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