Empirical Comparison of the Classification Performance of Robust Linear and Quadratic Discriminant Analysis | springerprofessional.de

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2004 | OriginalPaper | Buchkapitel

Empirical Comparison of the Classification Performance of Robust Linear and Quadratic Discriminant Analysis

verfasst von : K. Joossens, C. Croux

Erschienen in: Theory and Applications of Recent Robust Methods

Verlag: Birkhäuser Basel

Enthalten in: Professional Book Archive

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The aim of this paper is to look at the behavior of the total probability of misclassification of robust linear and quadratic discriminant analysis. The effect of outliers on the discriminant rules is studied by comparing their total probabilities of misclassification in presence of outliers.

Vorheriges Kapitel Analytic Estimator Densities for Common Parameters under Misspecified Models

Nächstes Kapitel Estimates of the Tail Index Based on Nonparametric Tests

Titel: Empirical Comparison of the Classification Performance of Robust Linear and Quadratic Discriminant Analysis
verfasst von: K. Joossens
C. Croux
Verlag: Birkhäuser Basel
Buch: Theory and Applications of Recent Robust Methods
Print ISBN: 978-3-0348-9636-8

Electronic ISBN: 978-3-0348-7958-3

Copyright-Jahr: 2004
DOI: https://doi.org/10.1007/978-3-0348-7958-3_12

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