PT  - JOURNAL ARTICLE
AU  - Poměnková, Jitka
TI  - Optimum kernels
DP  - 2015 Jun 17
TA  - Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
PG  - 69--78
VI  - 52
IP  - 3
AID - 10.11118/actaun200452030069
IS  - 12118516
AB  - Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. Kernel smoothing can be very well applied on the regression model. In the context of kernel estimates of a regression function, the choice of a kernel from the different points o view can be investigated. The main idea of this paper is to present construction of the optimal kernel and edge optimal kernel by means of the Gegenbauer and Legendre polynomial.