勤益科大機構典藏:Item 987654321/2786
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    Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/2786


    Title: A Bayesian-like estimator of Cpk
    Authors: Pearn, W.L.;Chen, K.S.
    Date: 1996
    Issue Date: 2009-08-20 07:31:51 (UTC+8)
    Abstract: Bissell (1990) proposed an estimator for the process capability index Cpk
    assuming the knowledge whether the process mean p < m or p 2 m is available,
    where m is the mid-point between the upper and lower specification limits. Kotz,
    Pearn and Johnson (1993) showed that for the index Cpk, the natural estimator
    gives values for the standard deviation smaller than those of Bissell's. In this
    paper we show that by adding a well-known correction factor to Bissell's
    estimator, we obtain an unbiased estimator of Cpk whose standard deviation is
    smaller than those given in Kotz, Pearn and Johnson (1993). In addition, we
    propose a Bayesian-like estimator which relaxes Bissell's assumption on the
    process mean. The distribution of the new estimator is shown to be identical to that
    of Bissell's estimator.
    Relation: Communications in Statistics-Simulation, 25(2), 321-329
    Appears in Collections:[Development of Industrial Engineering and Management] 【工業工程與管理系所】期刊論文

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