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Detail publikačního výsledku
Jan Koláček, Jitka Poměnková
Originální název
A Comparative Study of Boundary Effects for Kernel Smoothing
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Anglický abstrakt
The problem of boundary effects for nonparametric kernel regression is considered. We will follow the problem of bandwidth selection for Gasser--Mueller estimator especially. There are two ways to avoid the difficulties caused by boundary effects in this work. The first one si to assume the circular design. This idea is effective for smooth periodic regression functions mainly. The second presented method is reflection method for kernel of the second order. The reflection method has an influence on the estimate outside edge points. The method of penalizing functions is used as a bandwidth selector. This work compares both techniques in a simulation study.
Klíčová slova v angličtině
bandwidth selection, boundary effects, kernel estimation, nonparametric regression
Autoři
Vydáno
01.01.2005
Nakladatel
Institute of Statistics, Graz University of Technology, Austria
Kniha
Austrian Journal of Statistics
Edice
33
Strany od
26
Strany počet
7
BibTex
@inproceedings{BUT14906, author="Jan {Koláček}", title="A Comparative Study of Boundary Effects for Kernel Smoothing", booktitle="Austrian Journal of Statistics", year="2005", series="33", pages="7", publisher="Institute of Statistics, Graz University of Technology, Austria" }