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POMĚNKOVÁ, J. KOLÁČEK, J.
Original Title
A Comparative Study of Boundary Effects for Kernel Smoothing
Type
journal article in Web of Science
Language
English
Original Abstract
The problem of boundary effects for nonparametric kernel regression is considered. We will follow the problem of bandwidth selection for Gasser-Muller estimator especially. There are two ways to avoid the difficulties caused by boundary effects in this work. The first one is 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.
Keywords
Bandwidth SelectionKernel EstimationNonparametric Regression
Authors
POMĚNKOVÁ, J.; KOLÁČEK, J.
Released
1. 10. 2006
ISBN
1026-597X
Periodical
Austrian Journal of Statistics
Year of study
35
Number
2-3
State
Republic of Austria
Pages from
281
Pages to
288
Pages count
8
URL
https://www.webofscience.com/wos/woscc/full-record/WOS:000442430200017
BibTex
@article{BUT188376, author="Jitka {Dluhá} and Jan {Koláček}", title="A Comparative Study of Boundary Effects for Kernel Smoothing", journal="Austrian Journal of Statistics", year="2006", volume="35", number="2-3", pages="281--288", issn="1026-597X", url="https://www.webofscience.com/wos/woscc/full-record/WOS:000442430200017" }