Bayes results for classical Pareto distribution via Gibbs sampler,with doubly-censored observations |
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Authors: | Upadhyay S.K. Shastri V. |
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Affiliation: | Dept. of Stat., Banaras Hindu Univ., Varanasi; |
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Abstract: | The paper considers the full Bayes analysis of the Pareto distribution when the observations are doubly censored, and provides sample-based estimates of posterior distributions using Gibbs sampler algorithm. The approach is not only computationally simple but fully explores the low-dimensional posterior surfaces-which otherwise seems difficult. Complexities through censored data always arise in life testing experiments; these complexities are no longer problems with the Gibbs sampler algorithm, unlike the situations with nonsample-based approaches |
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