Selection of the Linear and the Quadratic Discriminant Functions when the Difference between Two Covariance Matrices is Small

DOI10.14490/jjss.47.145zbMath1395.62168OpenAlexW2806644493MaRDI QIDQ4578220

Hirofumi Wakaki, Tomoyuki Nakagawa

Publication date: 8 August 2018

Published in: JOURNAL OF THE JAPAN STATISTICAL SOCIETY (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.14490/jjss.47.145

zbMATH Keywords

classificationasymptotic expansiondiscriminant analysiscovariance matricesselecting

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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Cites Work

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• Comparison of linear and quadratic discriminant functions
• Discriminant Functions When Covariance Matrices are Unequal
• Discriminant Functions when Covariances are Unequal and Sample Sizes are Moderate
• An Asymptotic Unbiased Technique for Estimating the Error Rates in Discriminant Analysis
• Multivariate Statistics