Monitoring Variation in a Multivariate Process When the Dimension is Large Relative to the Sample Size

DOI10.1080/03610920802339825zbMath1162.62097OpenAlexW2089939506MaRDI QIDQ3631422

John C. Young, Y.-M. Chou, R. L. Mason

Publication date: 9 June 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://www.informaworld.com/smpp/./content~db=all~content=a909859881

zbMATH Keywords

tablesmultivariate statistical process controlWilks' statisticscatter matrixsample generalized variance\(T^2\) statistic

Mathematics Subject Classification ID

Multivariate analysis (62H99) Estimation in multivariate analysis (62H12) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (2)

Detection and Interpretation of a Multivariate Signal Using Combined Charts ⋮ Decomposition of Scatter Ratios Used in Monitoring Multivariate Process Variability

Cites Work

• Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
• Multivariate Statistical Process Control with Industrial Applications
• Critical values for testing in multivariate statistical outliers
• Identifying Variables Contributing to Outliers in Phase I
• A multivariate exponentially weighted moving average control chart for monitoring process variability
• Multivariate CUSUM Quality-Control Procedures
• A Multivariate Exponentially Weighted Moving Average Control Chart
• DISPERSION CONTROL FOR MULTIVARIATE PROCESSES – SOME COMPARISONS
• A New Multivariate Control Chart for Monitoring Both Location and Dispersion
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