Enhancing Multivariate Control Charts for Individual Observations Using ROC Estimates

Vijayalakshmi S. (), Sebastian Nicy () and Sajesh T. A. ()
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Vijayalakshmi S.: Department of Statistics, St. Thomas College (Autonomous), Thrissur, Kerala; and University of Calicut, Malappuram India
Sebastian Nicy: Department of Statistics, St. Thomas College (Autonomous), Thrissur, Kerala, India
Sajesh T. A.: Department of Statistics, St. Thomas College (Autonomous), Thrissur, Kerala, India

Stochastics and Quality Control, 2023, vol. 38, issue 2, 109-118

Abstract: Classical Hotelling’s T 2 T^{2} control chart is frequently used for monitoring a multivariate process. The existence of outlying observations in the Phase I data used to determine the control limit can have a significant impact on the accuracy of such control charts, as is well known. Based on the robust reweighted orthogonalized comedian estimates, a robust multivariate quality control chart for individual observations is proposed in this study. Control limit of the proposed robust control chart is estimated by modelling the simulated quantiles for any sample size. A Simulation study has been conducted to examine the performance of the proposed method and compare it with the performances of the classical Hotelling T 2 T^{2} control chart, a robust control chart based on shrinkage reweighted estimator and two robust control charts based on the reweighted minimum covariance determinant estimator. The results demonstrate the effectiveness of the proposed method, even under high-dimensional settings or when the contamination in the Phase I data is high, with both independent and correlated variables. Performance of the proposed method is also illustrated by implementing in a real-world example

Keywords: Multivariate Robust Control Chart; Comedian; Multivariate Statistical Process Control (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1515/eqc-2023-0023

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