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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/113685

    Title: Control charts for generalized exponential distribution percentiles
    Authors: J-Y Chiang;N Jiang;TN Brown;Tzong-Ru Tsai;YL Lio
    Keywords: Average run length;Control charts;False alarm rate;Parametric bootstrap methods;Percentile;Shewhart-type chart
    Date: 2017-05-16
    Issue Date: 2018-06-14 12:10:26 (UTC+8)
    Abstract: 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.
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    , 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.
    Relation: Communications in Statistics - Simulation and Computation 46(10), p.7827-7843
    DOI: 10.1080/03610918.2016.1255963
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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