Publication details

A Comparative Study of Boundary Effects for Kernel Smoothing

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Year of publication 2006
Type Article in Periodical
Magazine / Source Austrian Journal of Statistics
MU Faculty or unit

Faculty of Science

Field General mathematics
Keywords bandwidth selection; boundary effects; kernel estimation; nonparametric regression
Description 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.
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