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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/18496


    Title: Skew normal distribution and the design of control charts for averages
    Authors: Tsai, Tzong-ru
    Contributors: 淡江大學統計學系
    Keywords: Computer simulation;Data reduction;Probability distributions;Quality control;Cornish-Fisher expansion;Process capability ratio;Skewness correction methods;Weighted standard deviation methods;Weighted variance methods;Statistical process control
    Date: 2007-02
    Issue Date: 2013-03-12 11:03:17 (UTC+8)
    Publisher: Singapore: World Scientific Publishing Co. Pte. Ltd.
    Abstract: The paper develops two new control charts and process capability ratios based on the skew normal distribution to monitor the process average and evaluate the process capability of non-normal data. Both control charts reduce to Shewhart-type control charts when the underlying distribution of quality characteristic is symmetric. A simulation study is conducted to compare the performances of the proposed control charts with those of existing control charts. Simulation results indicate that considerable improvement over those of existing control charts can be achieved when the proposed control charts are used to monitor the process average of non-normal data. Two examples are presented for illustration.
    Relation: International Journal of Reliability, Quality and Safety Engineering 14(1), pp.49-63
    DOI: 10.1142/S0218539307002507
    Appears in Collections:[統計學系暨研究所] 期刊論文

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