Testing variability in multivariate quality control: a conditional entropy measure approach
type: Item
instance of: scholarly article
title: Testing variability in multivariate quality control: a conditional entropy measure approach
zbMATH Open document ID: 0869.62071
DOI: 10.1016/0020-0255(95)00098-A
author: José-Luis Guerrero-Cusumano
published in: Information Sciences
publication date: 1997-06-23T00:00:00Z
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 62B10
zbMATH DE Number: 1025635
zbMATH Keywords: multivariate quality-control charts
zbMATH Keywords: multivariate normal
zbMATH Keywords: asymptotic distribution
zbMATH Keywords: sample entropy
zbMATH Keywords: conditional entropy approach
MaRDI profile type: Publication
cites work: Q3331506
cites work: Q3796553
cites work: Maximum-likelihood estimation of the parameters of a multivariate normal distribution
cites work: Q5841819
cites work: Q5819794
cites work: A Selection Procedure for Multivariate Normal Distributions in Terms of the Generalized Variances
cites work: Multivariate mutual information
cites work: Q3206104
cites work: Asymptotic Independence of Bivariate Extremes
cites work: The exact non-central distribution of the generalized variance
cites work: Q3219581
cites work: Tests for standardized generalized variances of multivariate normal populations of possibly different dimensions
full work available at URL: 0020-0255(95)00098-a
OpenAlex ID: W2093200042
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description: scientific article; zbMATH DE number 1025635