A study of the median run length (MRL) performance of the EWMA t chart for the mean

The exponentially weighted moving average (EWMA) X chart is effective in detecting small shifts. However, the EWMA X chart is not robust enough to prevent errors in estimating the process standard deviation or a changing standard deviation. To overcome this problem, Zhang et al. suggested the EWM...

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Bibliographic Details
Main Authors: Chin, W.S., Khoo, M.B.C.
Format: Article
Language:English
Published: Stellenbosch University 2012
Subjects:
Online Access:http://eprints.usm.my/38208/
http://eprints.usm.my/38208/1/A_STUDY_OF_THE_MEDIAN_RUN_LENGTH_%28MRL%29_PERFORMANCE_OF_THE_EWMA_t_CHART_FOR_THE_MEAN.pdf
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Summary:The exponentially weighted moving average (EWMA) X chart is effective in detecting small shifts. However, the EWMA X chart is not robust enough to prevent errors in estimating the process standard deviation or a changing standard deviation. To overcome this problem, Zhang et al. suggested the EWMA t chart in 2009. The existing optimal design of the EWMA t chart is based on the average run length (ARL) criterion. This paper proposes that the optimal design of the EWMA t chart be based on the median run length (MRL). The MRL performances of the optimal EWMA X and optimal EWMA t charts are compared.