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Robust control charts for time series data
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DOI：10.1016/j.eswa.2011.04.184.png)
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摘要
En 中文
This article presents a control chart for time series data, based on the one-step-ahead forecast errors of the Holt-Winters forecasting method. We use robust techniques to prevent that outliers affect the estimation of the control limits of the chart. Moreover, robustness is important to maintain the reliability of the control chart after the occurrence of alarm observations. The properties of the new control chart are examined in a simulation study and on a real data example. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Control chart
Holt-Winters
Non-stationary time series
Outlier detection
Robustness
Statistical process control
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期刊
IF:
7.5
论文数:
2.9W
被引数:
10.2W
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