Multivariate control chart based on the highest possibility region

DOI10.1080/02664763.2013.790007OpenAlexW2054112034MaRDI QIDQ5129064

Yu Zhao, Jun Yang, Ting-Ting Gang

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.790007

zbMATH Keywords

multimodal distributionsmultivariate statistical process controlfalse alarm\(T^2\) control chartasymmetrical distributionshighest possibility region

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• A Double Multivariate Exponentially Weighted Moving Average (dMEWMA) Control Chart for a Process Location Monitoring
• Detection and Interpretation of a Multivariate Signal Using Combined Charts
• Bootstrap-BasedT²Multivariate Control Charts
• Control Limits Based on the Narrowest Confidence Interval
• A spatial rank-based multivariate EWMA control chart
• Multivariate Quality Control Chart for Autocorrelated Processes
• An alternative approach to multivariate EWMA control chart
• Multivariate CUSUM Quality-Control Procedures
• A Multivariate Exponentially Weighted Moving Average Control Chart
• A kernel-distance-based multivariate control chart using support vector methods
• Multistage plug—in bandwidth selection for kernel distribution function estimates
• THE CONTROL CHART FOR INDIVIDUAL OBSERVATIONS FROM A MULTIVARIATE NON-NORMAL DISTRIBUTION
• A modified economic-statistical design of the T²control chart with variable sample sizes and control limits

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