PT  - JOURNAL ARTICLE
AU  - Poměnková, Jitka
TI  - Nonparametric estimate remarks
DP  - 2014 Dec 10
TA  - Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
PG  - 93--100
VI  - 54
IP  - 3
AID - 10.11118/actaun200654030093
IS  - 12118516
AB  - Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. The idea of the kernel smoothing can be applied to a simple fixed design regression model. This article is focused on kernel smoothing for fixed design regresion model with three types of estimators, the Gasser-Müller estimator, the Nadaraya-Watson estimator and the local linear estimator. At the end of this article figures for ilustration of desribed estimators on simulated and real data sets are shown.