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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107072

    Title: On the monitoring of mixture simple linear profiles
    Authors: Yi-Hua Tina Wang;Hsiuying Wang
    Keywords: profile monitoring;mixture normal distributions;EWMA control charts;EM algorithm
    Date: 2016/01/20
    Issue Date: 2016-08-15
    Publisher: Taylor & Francis
    Abstract: In some applications, the quality of a process or product is best characterized by a functional relationship between a response variable and one or more explanatory variables. Profile monitoring is used to understand and to check the stability of this relationship or curve over time. In the existing simple linear regression profile models, it is often assumed that the data follow a single mode distribution and consequently the noise of the functional relationship follows a normal distribution. However, in some applications, it is likely that the data may follow a multiple-modes distribution. In this case, it is more appropriate to assume that the data follow a mixture profile. In this study, we focus on a mixture simple linear profile model, and propose new control schemes for Phase II monitoring. The proposed methods are shown to have good performance in a simulation study.
    Relation: Journal of Statistical Computation and Simulation 86(15), p.3009-3024
    DOI: 10.1080/00949655.2016.1145679
    Appears in Collections:[統計學系暨研究所] 期刊論文

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