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    題名: Control charts for generalized exponential distribution percentiles
    作者: J-Y Chiang;N Jiang;TN Brown;Tzong-Ru Tsai;YL Lio
    關鍵詞: Average run length;Control charts;False alarm rate;Parametric bootstrap methods;Percentile;Shewhart-type chart
    日期: 2017-05-16
    上傳時間: 2018-06-14 12:10:26 (UTC+8)
    摘要: The generalized exponential (GE) distribution, which was introduced by Mudholkar and Srivastava in 1993 Mudholkar, G. S., Srivastava, D. K. (1993). Exponentiated Weibull family for analyzing bathtub failure data. IEEE Transactions on Reliability 42:299–302.
    [Google Scholar]
    , has been studied for various applications of lifetime modelings. In this article, five control charts, that comprise the Shewhart-type chart and four parametric bootstrap charts based on maximum likelihood estimation method, the moment estimation method, probability plot method, and least-square error method for the GE percentiles, are investigated. An extensive Monte Carlo simulation study is conducted to compare the performance among all five control charts in terms of average run length. Finally, an example is given for illustration.
    關聯: Communications in Statistics - Simulation and Computation 46(10), p.7827-7843
    DOI: 10.1080/03610918.2016.1255963
    顯示於類別:[統計學系暨研究所] 期刊論文

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