Derivation and Application of In uence Function in Discriminant Analysis for Three Groups

Title & Authors
Derivation and Application of In uence Function in Discriminant Analysis for Three Groups
Lee, Hae-Jung; Kim, Hong-Gie;

Abstract
The influence function is used to develop criteria to detect outliers in discriminant analysis. We derive the influence function of observations that estimate the the misclassification probability in discriminant analysis for three groups. The proposed measures are applied to the facial image data to define outliers and redo the discriminant analysis excluding the outliers. The study proves that the derived influence function is more efficient than using the discriminant probability approach.
Keywords
Influence function;discriminant analysis;misclassification probability;outlier;
Language
Korean
Cited by
1.
Graphical Methods for the Sensitivity Analysis in Discriminant Analysis,;;;

Communications for Statistical Applications and Methods, 2015. vol.22. 5, pp.475-485
1.
Graphical Methods for the Sensitivity Analysis in Discriminant Analysis, Communications for Statistical Applications and Methods, 2015, 22, 5, 475
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