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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/61616
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/61616

    Title: Monitoring Process Mean with A New EWMA Control Chart
    Authors: 楊素芬
    Yang,Su-Fen;Tsai, Wen-Chi;Huang, Tzee-Ming;Yang, Chi-Chin;Cheng, Smiley
    Contributors: 統計系
    Date: 2011.1
    Issue Date: 2013-11-11 17:48:20 (UTC+8)
    Abstract: In practice, sometimes the process data did not come from a known population distribution. So the commonly used Shewhart variables control charts are not suitable since their performance could not be properly evaluated. In this paper, we propose a new EWMA Control Chart based on a simple statistic to monitor the small mean shifts in the process with non-normal or unknown distributions. The sampling properties of the new monitoring statistic are explored and the average run lengths of the proposed chart are examined. Furthermore, an Arcsine EWMA Chart is proposed since the average run lengths of the Arcsine EWMA Chart are more reasonable than those of the new EWMA Chart. The Arcsine EWMA Chart is recommended if we are concerned with the proper values of the average run length.
    Relation: Revista Produção, 21(2), 217-222
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1590/S0103-65132011005000026
    DOI: 10.1590/S0103-65132011005000026
    Appears in Collections:[統計學系] 期刊論文

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