Estimating the Expected Probability of Misclassification for a Rule Based on the Linear Discriminant Function: Univariate Normal Case

DOI10.2307/1266992zbMath0263.62037OpenAlexW4247850662MaRDI QIDQ5679547

M. J. Sorum

Publication date: 1973

Full work available at URL: https://doi.org/10.2307/1266992

Mathematics Subject Classification ID

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

Related Items (6)

A shrunken leaving-one-out estimator of error rate ⋮ On the estimation of the expected probability of misclassification in discriminant analysis with mixed binary and continuous variables ⋮ On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis ⋮ Analytical study of performance of linear discriminant analysis in stochastic settings ⋮ Classification and Discrimination Problems with Applications, Part IIa ⋮ A theoretical analysis of the peaking phenomenon in classification

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