淡江大學機構典藏:Item 987654321/58733
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    题名: Exact Bayesian variable sampling plans for the exponential distribution with progressive hybrid censoring
    作者: Lin, Chien-Tai;Huang, Yen-Lung;Balakrishnan, N.
    贡献者: 淡江大學數學學系
    关键词: Bayes risk;maximum likelihood estimation;optimal sampling plan;ordinary hybrid censoring;progressive censoring;progressive hybrid censoring
    日期: 2011
    上传时间: 2011-10-01 21:06:50 (UTC+8)
    出版者: Abingdon: Taylor & Francis Ltd.
    摘要: From the exact distribution of the maximum likelihood estimator of the average lifetime based on progressive hybrid exponential censored sample, we derive an explicit expression for the Bayes risk of a sampling plan when a quadratic loss function is used. The simulated annealing algorithm is then used to determine the optimal sampling plan. Some optimal Bayes solutions under progressive hybrid and ordinary hybrid censoring schemes are presented to illustrate the effectiveness of the proposed method.
    關聯: Journal of Statistical Computation and Simulation 81(7), pp.873-882
    DOI: 10.1080/00949650903524342
    显示于类别:[數學學系暨研究所] 期刊論文

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