淡江大學機構典藏:Item 987654321/116005

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    题名: Monitoring of autocorrelated general linear profiles
    作者: Yi-Hua Tina Wang;Yunru Lai
    关键词: General linear profiles;phase II;between-profile autocorrelation;exponentially weighted moving average
    日期: 2018-12-13
    上传时间: 2019-03-16 12:11:22 (UTC+8)
    摘要: A collection of quality data represented by a functional relationship between response and explanatory variables is called a profile. In the literature, the errors of profiles are often assumed to be independent. However, quality data often exhibits time correlations in real applications. Therefore, in this paper, we investigate a general linear regression model with a between-profile autocorrelation. We propose a multivariate exponentially weighted moving average chart for monitoring shifts in the regression parameters, and an exponentially weighted moving average chart for monitoring shifts in the standard deviation. A simulation study reveals that our proposed schemes outperform competing existing schemes based on the average run length criterion. An example is used to illustrate the applicability of the proposed scheme.
    關聯: Journal of Statistical Computation and Simulation 89(3), p.519-535
    DOI: 10.1080/00949655.2018.1558227
    显示于类别:[統計學系暨研究所] 期刊論文

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