BIAS CORRECTION AT END POINTS IN KERNEL DENSITY ESTIMATION

Bordji, Hind (2022) BIAS CORRECTION AT END POINTS IN KERNEL DENSITY ESTIMATION. Doctoral thesis, Université de mohamed kheider biskra.

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Abstract

In this thesis, we study some boundary correction methods for kernel estimators of the density function and their statistical properties. The kernel estimators are not consistent near the finite end points of their supports. In other words, these effects seriously affect the performance of these estimators. To remove these boundary effects, various methods have been developed in the literature, the most used are the reflection method, the transformation and the local linear methods. We combine transformation and reflection methods in order to introduce a new boundary correction estimator in the case of kernel estimation of the density function whose support is [0,1].

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: Kernel density estimation, Bias correction, Transformation, Reflection, Mean squared error, Mean integrated squared error.
Subjects: Q Science > QA Mathematics
Divisions: Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie > Département de Mathématiques
Depositing User: BFSE
Date Deposited: 06 Sep 2022 10:44
Last Modified: 06 Sep 2022 10:44
URI: http://thesis.univ-biskra.dz/id/eprint/5746

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