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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/95332


    Title: Bayesian Sampling Plans For Exponential Distribution Based On Censored Data
    Authors: Huang Wen-Tao;Lin Yu-Pin
    Contributors: 淡江大學管理科學學系
    Keywords: 貝氏方法;指數分布;貝氏抽樣計畫;單一隨機檢查;Bayesian Method;Exponential Distribution;Bayesian Sampling Plan;Uniform Random Censoring
    Date: 2002-01
    Issue Date: 2014-02-12 02:16:06 (UTC+8)
    Abstract: This paper deals with the problem of a single sampling plan withpolynomial loss for the exponential distribution based on uniformlydistributed random censored data. A Bayes sampling plan is derivedunder various schemes of censoring time. We focus on a quadratic lossand an unit time cost is also considered in the loss. Some optimalBayes solutions are tabulated and some numerical comparisons of risksbetween the proposed plan and that of Lam and Choy(1995) under specialloss are also made. It is shown that their optimal solutions are notBayes in the usual sense.
    Relation: 2002年兩岸管理科學暨經營決策學術研討會論文集,頁317-332
    Appears in Collections:[管理科學學系暨研究所] 會議論文

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