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Robust Estimation in Multivariate Control Charts for Individual Observations

Summary: [This abstract is based on the author's abstract.]Multivariate control charts are used for simultaneously monitoring a number of product or process quality characteristics. However, masking prevents the detection of multiple outliers during Phase I analysis when using the conventional chart. T(2) control charts based on robust estimators of location and dispersion are proposed and shown through simulation studies to be effective in detecting any reasonable number of outliers.

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