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Asymptotic Expansions for Errors of Misclassification: Nonnormal Situations

Abstract

A unified development of the expansions available for the asymptotic distribution of the errors of misclassification is given in the nonnormal situations. Several examples are presented.A detailed study is undertaken in the case of outliers in sampling from the normal distribution. It is Shown that outliers with large variances lead to inflation in the errors of misclassification.

Authors

Kocherlakota S; Kocherlakota K; Balakrishnan N

Book title

Advances in Multivariate Statistical Analysis

Pagination

pp. 191-211

Publisher

Springer Nature

Publication Date

January 1, 1987

DOI

10.1007/978-94-017-0653-7_10

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