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    題名: An Improved Bayesian Sampling Plans for Exponential Population with Type I Censoring
    作者: 黃文濤;林玉彬
    貢獻者: 淡江大學管理科學學系
    關鍵詞: 抽樣計畫;貝氏風險;指數平均;型I設限;貝氏方法;Sampling Plan;Bayes Risk;Exponential Mean;Type I Censoring;Bayesian Procedure
    日期: 2000-11
    上傳時間: 2014-02-12 02:14:02 (UTC+8)
    摘要: 本文主要是根據Lam(1994)的文章中。提出一新的決策函數,並且推導出一貝氏抽樣計劃 (n,t,T,ε,P)。我們考慮一新的損失函數,它包含了檢測時間的成本,並根據此推演出一最適抽樣計劃(n/sub B/,t/sub B/,T/ sub B/,ε/sub B/,p/sub B/)的演算法,最後,列出最適解及和Lam(1994)的數值比較。
    A new decision function is proposed and its Bayes sampling plan(n,t,T,ε,p) is also obtained. The proposed sampling plan includes th e Lam's (1994) plan as special case. A new loss is considered which includes the cost of unit time. An algorithm for determining an optimal sampling plan (n/sub B/,t/sub B/, T/sub B/,ε/sub B/, P/sub B/ ) is given. Some optimal solutions are tabulated. Some numerical comparisons among the optimal sampling rule in Lam (l994), the proposed rule and other alternative rule have also been made.
    關聯: 2000年兩岸管理科學學術研討會論文集,頁144-161
    顯示於類別:[管理科學學系暨研究所] 會議論文

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