淡江大學機構典藏:Item 987654321/107456
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    题名: Phase II profile monitoring based on proportional odds models
    作者: Longcheen Huwang;Yi-Hua Tina Wang;Arthur B. Yeh;Yi-Heng Huang
    关键词: Average run length;Change point estimation;MEWMA;Out of control;Profile monitoring;Proportional odds models
    日期: 2016-08-01
    上传时间: 2016-09-02 02:10:21 (UTC+8)
    出版者: Pergamon Press
    摘要: In this article, the quality of a process or product is assumed to be represented by a relationship (or profile) between the response variable and one or more explanatory variables. Due to the characteristic of the response variable, which is both categorical and ordinal, the relationship is better characterized by a proportional odds model. Two MEWMA-type control charts for monitoring such profiles in Phase II monitoring are proposed. Simulation studies are conducted to compare the effectiveness of these two charting schemes. Furthermore, a diagnostic method is employed to estimate the change point location of the process and to identify the parameters of change in the profile. Finally, a real example is used to illustrate the implementation of the proposed charting schemes and the diagnostic method.
    關聯: Computers & Industrial Engineering 98, p.543-553
    DOI: 10.1016/j.cie.2015.11.009
    显示于类别:[統計學系暨研究所] 期刊論文

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