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Control charts have typically been constructed using estimators obtained under assumptions of data independence and a given distribution of data. Here, I deal with cases in which neither of these conditions are satisfied. In particular, I consider the case of data obtained from a first-order autoregressive (AR(1)) time series model that have been contaminated by outlying process observations. I fi
