Neparametrická diskriminační analýza
| Title in English | Nonparametric discrimination analysis |
|---|---|
| Authors | |
| Year of publication | 2000 |
| Type | Article in Proceedings |
| Conference | Biometrické metody a modely v podohospodárskej vede, výskume a výuke |
| MU Faculty or unit | |
| Citation | |
| Field | Applied statistics, operation research |
| Keywords | Linear and quadratic discrimination analysis; nonparametric discrimination analysis; kernel estimators of density function; product kernels. |
| Description | Attention is focused here on the application of kernel density estimation to statistical discrimination. In order to place the nonparametric approach in context, the classical approach to discriminant analysis is reviewed very briefly. Kernel smoothers are one of the most popular nonparametric functional estimates and there are used multivariate product polynomial kernels and data-driven choices for the bandwidth. The theoretical considerations are illustrated with some examples. |
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