ON KERNEL DENSITY ESTIMATION WITH UNIVARIATE APPLICATION

Dr Siloko Israel Uzuazor   (Published 2018)

Dr Israel Uzuazor
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Kernel density estimation is an important smoothing technique with direct applications such as data exploratory analysis and data visualisation. This review summarizes the most important theoretical aspects of kernel density estimation and provides a description of classical methods for computing the smoothing parameter. The performance of the kernel estimator will be considered based on the classical methods of obtaining the smoothing parameter and this will be fully illustrated by real data examples

Item Type: Conference presentation
Format: PDF document,   481.03 KB
Copyright: Creative Commons LicenseCreative Commons license
Keywords: kernel, Density,
Department: Physical Science
Field of Study: Mathematics
Uploaded By: Ikhimalo Odufa Patience
Date Added: 01 Mar 2018 9:54am
Last Modified: 01 Mar 2018
conference URL: https://www.edouniversity.edu.ng/oer/conference/on_kernel_density_estimation_with_univariate_application


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