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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/71324


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    題名: Signal Detection for Process with Unknown Distribution.
    作者: Yang,Su-Fen
    貢獻者: 統計系
    日期: 2012.08
    上傳時間: 2014-11-11 11:03:11 (UTC+8)
    摘要: Control charts are effective tools for monitoring both manufacturing processes and service processes. Much service data comes from a process with variables having non-normal or unknown distributions. The commonly used Shewhart variable control charts which depend heavily on the normality assumption should not be applied here. Hence, an alternative is desired to handle these types of process data. In this paper, we propose a new Variance Chart based on a simple statistic to monitor process variance shifts. The sampling properties of the new monitoring statistic are explored. A numerical example of service times from a bank service system with a right skewed distribution is used to illustrate the proposed Variance Chart. A comparison with two existing charts is also performed. The Variance Chart showed better ability than those two charts in detecting shifts in the process variance.
    關聯: Advanced Materials Research,504,1472-1475
    資料類型: article
    顯示於類別:[統計學系] 期刊論文

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