Control charts are a useful tool for identifying when a process is out of control. Cumulative Sum (CUSUM) control charts are used to detect small or moderate shifts in a process. Measurement error affects the ability of a chart to detect an out of control situation quickly enough. In this paper, we study the performance of CUSUM charts for the mean under the presence of measurement error using a model with linear covariates.
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