Boundary Kernels for Distribution Function Estimation

Boundary Kernels for Distribution Function Estimation

Boundary effects for kernel estimators of curves with compact supports are well known in regression and density estimation frameworks. In this paper we address the use of boundary kernels for distribution function estimation. We establish the ChungSmirnov law of iterated logarithm and an asymptotic...

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Bibliographic Details
Main Author:	Carlos Tenreiro
Format:	Article
Language:	English
Published:	Instituto Nacional de Estatística \| Statistics Portugal 2013-06-01
Series:	Revstat Statistical Journal
Subjects:	kernel distribution function estimation boundary kernels Chung-Smirnov property MISE expansion bandwidth selection
Online Access:	https://revstat.ine.pt/index.php/REVSTAT/article/view/132

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