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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61597


    Title: A new non-parametric CUSUM mean chart
    Authors: 楊素芬
    Yang, S.-F.;Cheng, S. W
    Contributors: 統計系
    Keywords: CUSUM chart;process mean;binomial distribution;beta distribution;ARL
    Date: 2011.12
    Issue Date: 2013-11-11 17:44:06 (UTC+8)
    Abstract: Not all data in practice came from a process with normal distribution. When the process distribution is non-normal or unknown, the commonly used Shewhart control charts are not suitable. In this paper, a new non-parametric CUSUM Mean Chart is proposed to monitor the possible small mean shifts in the process. The sampling properties of the new monitoring statistics are examined and the average run lengths of the proposed chart are examined. Two numerical examples are used to illustrate the proposed chart and compare with the two existing charts, assuming normality and Beta distribution, respectively. The CUSUM Mean Chart showed better detection ability than those two charts in monitoring and detecting small process mean shifts. Copyright © 2010 John Wiley & Sons, Ltd.
    Relation: Quality and reliability engineering international, 27(7) , 867-875
    Data Type: article
    DOI link: http://dx.doi.org/10.1002/qre.1171
    DOI: 10.1002/qre.1171
    Appears in Collections:[Department of Statistics] Periodical Articles

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