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The Autoregressive T2 Chart for Monitoring Univariate Autocorrelated Processes

Summary: [This abstract is based on the authors' abstract.] The use of the autoregressive T2 control chart for statistical process control of autocorrelated processes is examined. The T2 statistic can be broken down into the sum of the squares of the residual errors for various order autoregressive time series models accommodating the process data. When compared to residual-based CUSUM and Shewhart control charts, the autoregressive T2 chart has characteristics, including robustness with respect to modeling errors, which make it an attractive alternative.

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