Robustness of the EWMA Control Chart to Non-normality for Autocorrelated Processes

Abstract

Most commonly used control charts for monitoring quality characteristics of the processes were developed under the assumption that the observations are randomly sampled from a normal population. It is well known that these control charts have more false alarms than usual when processes are positively autocorrelated. One remedy is to adjust the control… (More)

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@inproceedings{Shiau2005RobustnessOT, title={Robustness of the EWMA Control Chart to Non-normality for Autocorrelated Processes}, author={Jyh-Jen Horng Shiau and Ya-Chen Hsu}, year={2005} }