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- W3119988805 abstract "Multivariate exponential weighted moving average (MEWMA) control chart is one of the multivariate control charts used for observing the stability of non-random pattern in a process. However, high dimension multivariate time series data have high possibility of outliers, in the dataset. The effect of outliers may jeopardize the performance of Phase II MEWMA control chart. In this paper, we have shown that the performance of the existing MEWMA control chart is not robust across contaminated data, even for the smallest percentage of outliers, producing high empirical false alarm rates. To alleviate the problem, robust control chart based on location and scale estimators of Winsorized MOM was proposed. The results shown the proposed robust control chart is more efficient in controlling the empirical false alarm rates close to the false alarm rate value compared to the existing MEWMA control chart." @default.
- W3119988805 created "2021-01-18" @default.
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- W3119988805 date "2020-10-22" @default.
- W3119988805 modified "2023-09-23" @default.
- W3119988805 title "Robust Multivariate Exponential Weighted Moving Average Control Chart for Monitoring Multivariate Contaminated Data" @default.
- W3119988805 hasPublicationYear "2020" @default.
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