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A new adaptive extended exponentially weighted moving average (AEEWMA) chart has recently been proposed for monitoring the mean of a normally distributed process. In this paper, using the conditional expected delay metric, we reevaluate the performance of the AEEWMA chart. The results show that the classical exponentially weighted moving average (EWMA) chart may outperform the AEEWMA chart when detecting delayed moderate shifts in the process mean. Overall, the adaptive EWMA chart may outperform the EWMA and AEEWMA charts when detecting various delayed shifts in the process mean.
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Abdul Haq (2026) studied this question.
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