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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/109231


    Title: Monitoring profile based on a linear regression model with correlated errors
    Authors: 楊素芬
    Cheng, Tsung-Chi;Yang, Su-Fen
    鄭宗記
    Contributors: 統計系
    Keywords: Correlated errors;Hotelling’s T2 statistic;statistical process control
    Date: 2018
    Issue Date: 2017-04-26 17:04:21 (UTC+8)
    Abstract: Profile monitoring is becoming popular in the area of quality control. It is used when the process is characterized by the relationship between a response variable and some explanatory variables at each time period. This paper considers the situation where profiles are modeled parametrically using a multiple linear regression with random errors following an autoregressive moving-average process. Diagnostic schemes to find out-of-control samples are developed for this purpose. A simulation study examines the performance of the proposed approach based on the average run length criterion. Lastly, a real example illustrates the results, after considering both Phase I and Phase II schemes.
    Relation: Quality Technology and Quantity Management, Volume 15, Issue 3 , Pages 393-412
    Data Type: article
    DOI link: http://dx.doi.org/10.1080/16843703.2016.1226595
    DOI: 10.1080/16843703.2016.1226595
    Appears in Collections:[Department of Statistics] Periodical Articles

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