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This research article presents robust regression control charts (RCCs) designed to monitor quality characteristics affected by outliers, using robust methods to improve parameter estimates and control limits. The authors propose new RCCs based on exponential-type kernel and mean absolute deviation estimators, demonstrating their effectiveness through Monte Carlo simulations and an empirical application to temperature monitoring in Sydney. The findings suggest that the proposed robust RCCs outperform traditi

Author

xuwofrelleboi-5889

Language

EN