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    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/85142


    题名: 數據相關之二階製程管制
    Two-step Process Control for Autocorrelated data
    作者: 陳維倫
    Chen, Wei-Lun
    贡献者: 楊素芬
    陳維倫
    Chen, Wei-Lun
    关键词: autocorrelated
    time series model
    transfer model
    cause-selecting control chart
    日期: 2001
    上传时间: 2016-04-15 16:10:16 (UTC+8)
    摘要: Most products are produced by several process steps and have more than one interested quality characteristics. If each step of the process is independent, and the observations taken from the process are also independent then we may use Shewhart control chart at each step. However, in many processes, most production steps are dependent and the observations taken from the process are correlated. In this research, we consider the process has two dependent steps and the observations taken from the process are correlated over time. We construct the individual residual control chart to monitor the previous process and the cause-selecting control chart to monitor the current process. Then simulate all the states occur in the process and present the individual residual control chart and the cause-selecting control chart of the simulations. Furthermore compare the proposed control charts with the Hotelling T2 control chart. At last, we give an example to illustrate how to construct the proposed control
    參考文獻: Alwan, L. C and Roberts, H. V. (1988),“Time-Series Modeling for Statistical Process Control ”. Journal of Business & Economic Statistics, Vol, 6, pp87-95.
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    Wardell, Wade, R. and Woodall, W. (1993), “ A Review and Analysis of Cause-Selecting Control Charts”. Journal of Quality Technology, Vol.25, pp 161-169.
    Wei Jiang, Tsui K-L and Woodall, W. (2000), “A New SPC Monitoring Method: The ARMA Chart” Technometrics Vol.42,pp399-410.
    吳柏林(Wu, 1995).“時間數列分析導論” 華泰書局出版
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    葉小蓁(Yeh, 1998).“時間序列分析與應用”
    描述: 碩士
    國立政治大學
    統計學系
    88354013
    資料來源: http://thesis.lib.nccu.edu.tw/record/#A2002001355
    数据类型: thesis
    显示于类别:[統計學系] 學位論文

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