Smoothed additive estimators for non-error rates in multiple discriminant analysis

DOI10.1016/0031-3203(85)90039-1zbMath0556.62039OpenAlexW2020509427MaRDI QIDQ760988

Gerhard Tutz

Publication date: 1985

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0031-3203(85)90039-1

zbMATH Keywords

parameter choicemultiple discriminant analysisresubstitution methodgeneralization of smoothed additive estimatorsleaving-one out methodmore than two groupsnon-error rates

Mathematics Subject Classification ID

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

Related Items (5)

On the asymptotic properties of smoothed estimators of the classification error rate ⋮ Smoothing for Discrete Kernels in Discrimination ⋮ Ten More Years of Error Rate Research ⋮ Unnamed Item ⋮ Bolstered error estimation

Cites Work

• Error rate estimation on the basis of posterior probabilities
• Additive estimators for probabilities of correct classification
• Bootstrap methods: another look at the jackknife
• On the estimation by the minimum distance method
• Bibliography on estimation of misclassification
• Error estimation in pattern recognition via<tex>L_alpha</tex>-distance between posterior density functions
• Discriminant Analysis

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