Publication details

Klasifikační pravidla pro elipticky vrstevnicová rozdělení

Title in English Classification Rules for Elliptically Contoured Distributions
Authors

FORBELSKÁ Marie

Year of publication 2004
Type Article in Proceedings
Conference ROBUST 2004, Sborník prací 13. letní školy JĆMF ROBUST 2004
MU Faculty or unit

Faculty of Science

Citation
Field Applied statistics, operation research
Keywords parametric; nonparametric and semiparametric discriminant analysis; linear and quadratic discriminant analysis; kernel density estimation; product kernels; bandwidth choice; boundary kernels; variable bandwidth selector; elliptically contoured distribution; M-estimates
Description This paper demonstrates that linear and quadratic discriminant decision rules of classifying observation as coming from one of several multivariate normal distribution can be construct for much broader classes of distribution such as elliptical contoured distributions. In the paper the attention is also focused to the applications of nonparametric and semiparametric methods (based on the kernel smoothing).
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