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Nonparametric estimate remarks
[Poznámky k neparametrickým odhadům]

Author

Listed:
  • Jitka Poměnková

    (Ústav statistiky a operačního výzkumu, Mendelova zemědělská a lesnická univerzita, Brno, Zemědělská 5, 613 00 Brno, Česká republika)

Abstract

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.

Suggested Citation

  • Jitka Poměnková, 2006. "Nonparametric estimate remarks [Poznámky k neparametrickým odhadům]," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 54(3), pages 93-100.
    • Handle: RePEc:mup:actaun:actaun_2006054030093
    DOI: 10.11118/actaun200654030093
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