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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/90923

    Title: Simulated shewhart control chart for monitoring variance components
    Authors: Tsai, Tzong-Ru;Hdieh, Yi-Wei
    Contributors: 淡江大學統計學系
    Keywords: Average run length;control chart quality control;random effects;variance components
    Date: 2009-02
    Issue Date: 2013-07-09 15:09:40 (UTC+8)
    Publisher: Singapore: World Scientific Publishing Co. Pte. Ltd.
    Abstract: Shewhart control charts based on the simulation method are proposed for monitoring separate variance components of the single-factor random effect model. Monte Carlo simulation results show that the proposed control charts have competitive performance relative to the approximate Shewhart regression control charts (ARSCCs) proposed by Chang and Gan2 in terms of the average run length (ARL). Compared with the ARSCCs, our control charts can be constructed easily with less sample resources. The application of our proposed method is illustrated with two examples.
    Relation: International Journal of Reliability, Quality and Safety Engineering 16(1), pp.1-22
    DOI: 10.1142/S0218539309003265
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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