On the estimation of the expected probability of misclassification in discriminant analysis with mixed binary and continuous variables

DOI10.1016/0898-1221(86)90072-6zbMath0592.62054OpenAlexW2033600454MaRDI QIDQ3721623

Ioannis G. Vlachonikolis

Publication date: 1986

Published in: Computers & Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(86)90072-6

zbMATH Keywords

asymptotic expansiondiscriminant analysislocation modellinear discriminant functionMonte Carlo estimatesestimative optimum allocation rulemixtures of binary and continuous variablesunconditional probability of misclassification

Mathematics Subject Classification ID

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

Related Items (1)

The location model for mixtures of categorical and continuous variables

Cites Work

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