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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/19775

    Title: Bayesian sampling plans for exponential distribution based on uniform random censored data
    Authors: 黃文濤;Huang, Wen-tao;Lin, Yu-pin
    Contributors: 淡江大學經營決策學系
    Keywords: Bayes sampling plan;Exponential population;Uniform random censoring
    Date: 2004-01-28
    Issue Date: 2009-11-30 12:21:34 (UTC+8)
    Publisher: Elsevier
    Abstract: The problem of a single sampling plan with polynomial loss for the exponential distribution based on uniformly distributed random censored data has been considered. A Bayes sampling plan is derived under various schemes of censoring time. It is specially focused on a quadratic loss and an unit time cost is included in the loss. Some optimal Bayes solutions are tabulated and some numerical comparisons between the proposed plan and a known plan under special loss are also made. It is shown that the optimal solutions of the known plan are not Bayes in general.
    Relation: Computational Statistics and Data Analysis 44(4), pp.669-691
    DOI: 10.1016/S0167-9473(02)00330-4
    Appears in Collections:[Department of Management Sciences] Journal Article

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