Asymmetric Kernels for Boundary Modification in Distribution Function Estimation

Asymmetric Kernels for Boundary Modification in Distribution Function Estimation

Kernel-type estimators are popular in density and distribution function estimation. However, they suffer from boundary effects. In order to modify this drawback, this study has proposed two new kernel estimators for the cumulative distribution function based on two asymmetric kernels including the...

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Bibliographic Details
Main Authors: Habib Allah Mombeni, Behzad Mansouri, MohammadReza Akhoond
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2021-12-01
Series:Revstat Statistical Journal
Subjects:
cumulative distribution function
boundary effects
kernel-type estimators
asymmetric kernels
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/350

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