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• W2996341036 abstract "A multivariate control chart is designed to monitor process parameters of multiple correlated quality characteristics. Often data on multivariate processes are collected as individual observations, i.e. as vectors one at the time. Various control charts have been proposed in the literature to monitor the covariance matrix of a process when individual observations are collected. In this study, we review this literature; we find 30 relevant articles from the period 1987-2019. We group the articles into five categories. We observe that less research has been done on CUSUM, high-dimensional and non-parametric type control charts for monitoring the process covariance matrix. We describe each proposed method, state their advantages, and limitations. Finally, we give suggestions for future research." @default.
• W2996341036 created "2019-12-26" @default.
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• W2996341036 date "2019-12-20" @default.
• W2996341036 modified "2023-09-27" @default.
• W2996341036 title "A Review of Dispersion Control Charts for Multivariate Individual Observations" @default.
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• W2996341036 hasPublicationYear "2019" @default.
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