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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95528


    Title: 製程能力弱度指標C/sub pp/之統計推論與應用
    Authors: 吳錦全;鄭佳綺
    Contributors: 淡江大學統計學系
    Keywords: 製程能力弱度指標;最大臨界值;樣本大小;製程能力指標;最適樣本數;Process Incapability Index;Maximum Critical Value;Sample Size;Process Capability Index;Optimal Sample Size
    Date: 2002-01
    Issue Date: 2014-02-12 13:57:05 (UTC+8)
    Abstract: 本文利用統計方法推導出在不同的信賴水準、樣本數n及預期製程能力水準之下,製程能力弱度指標C/sub pp/的最大臨界值,並透過該臨界值訂出一個檢定程序,以判斷製程是否合乎能力水準。同時利用Zar(l978)和Wilson- Hilferty(1931)所分別提出常態分配的近似式,推導出樣本數n以達到製程指標信賴界限的規格水準。
    In this paper we find the maximal critical values under some givenconfidence levels, sample size and expected process capabilities, andthen construct a testing procedure to make a decision on whether thegiven process meets the capability requirement. Furthermore, theformulae of approximated sample size n are derived by usingapproximated formulae of normal distribution proposed by Zar (1978)and Wilson - Hilferty (1931), respectively.
    Relation: 2002年兩岸管理科學暨經營決策學術研討會論文集,頁281-300
    Appears in Collections:[統計學系暨研究所] 會議論文

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    製程能力弱度指標C/sub pp/之統計推論與應用_英文摘要.docx摘要17KbMicrosoft Word87View/Open

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