Detail publikace

A Comparative Study of Boundary Effects for Kernel Smoothing

POMĚNKOVÁ, J. KOLÁČEK, J.

Originální název

A Comparative Study of Boundary Effects for Kernel Smoothing

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Bandwidth SelectionKernel EstimationNonparametric Regression

Autoři

POMĚNKOVÁ, J.; KOLÁČEK, J.

Vydáno

1. 10. 2006

ISSN

1026-597X

Periodikum

Austrian Journal of Statistics

Ročník

35

Číslo

2-3

Stát

Rakouská republika

Strany od

281

Strany do

288

Strany počet

8

URL

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"
}