RT Journal Article
SR Electronic
A1 Poměnková, Jitka
T1 Optimum kernels
JF Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
YR 2015
VO 52
IS 3
SP 69
OP 78
DO 10.11118/actaun200452030069
UL https://acta.mendelu.cz/artkey/acu-200403-0006.php
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.