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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Instituto Nacional de Estatística | Statistics Portugal
2021-12-01
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Series: | Revstat Statistical Journal |
Subjects: | |
Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/350 |