Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis (Jan 2004)

Optimum kernels

  • Jitka Poměnková

DOI
https://doi.org/10.11118/actaun200452030069
Journal volume & issue
Vol. 52, no. 3
pp. 69 – 78

Abstract

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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.

Keywords