Testing variability in multivariate quality control: a conditional entropy measure approach

DOI10.1016/0020-0255(95)00098-AzbMath0869.62071OpenAlexW2093200042MaRDI QIDQ1358831

José-Luis Guerrero-Cusumano

Publication date: 23 June 1997

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(95)00098-a

zbMATH Keywords

asymptotic distributionmultivariate normalsample entropyconditional entropy approachmultivariate quality-control charts

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

Decomposition of Scatter Ratios Used in Monitoring Multivariate Process Variability ⋮ Monitoring the covariance matrix with fewer observations than variables ⋮ Effect of Dependency in Systems for Multivariate Surveillance

Cites Work

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• Maximum-likelihood estimation of the parameters of a multivariate normal distribution
• Tests for standardized generalized variances of multivariate normal populations of possibly different dimensions
• The exact non-central distribution of the generalized variance
• Multivariate mutual information
• Asymptotic Independence of Bivariate Extremes
• A Selection Procedure for Multivariate Normal Distributions in Terms of the Generalized Variances

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