2005
DOI: 10.1016/j.jmva.2004.11.001
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Influence of observations on the misclassification probability in quadratic discriminant analysis

Abstract: In this paper it is studied how observations in the training sample affect the misclassification probability of a quadratic discriminant rule. An approach based on partial influence functions is followed. It allows to quantify the effect of observations in the training sample on the performance of the associated classification rule. Focus is on the effect of outliers on the misclassification rate, merely than on the estimates of the parameters of the quadratic discriminant rule. The expression for the partial … Show more

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Cited by 49 publications
(26 citation statements)
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“…To test if there were significant relationships between pearl quality traits, Spearman's rank tests, Kendall tests and χ 2 tests were performed (Croux 2005).…”
Section: Discussionmentioning
confidence: 99%
“…To test if there were significant relationships between pearl quality traits, Spearman's rank tests, Kendall tests and χ 2 tests were performed (Croux 2005).…”
Section: Discussionmentioning
confidence: 99%
“…In particular, in the simulation settings that we investigated, the ranked version of the MCD-based classifier of Hubert and Van Driessen (2004) gives the best performance of all the methods studied in terms of total probability of correct classification, balance, and standard errors when the two underlying distributions are Cauchy. It would be interesting to investigate the influence function of the misclassification error rate similar to those given in Croux and Joossens (2005) and Croux et al (2008).…”
Section: Discussionmentioning
confidence: 98%
“…Where Y is dependent variable, 'b's are regression coefficients for corresponding 'x's (independent variable), 'c' is a regression constant or intercept 36 .…”
Section: Regression Equation Takes the Formmentioning
confidence: 99%