A note on the choice of the smoothing parameter in the kernel dinsity estimate
Year: 2009
Type: article
Abstract: Among different density estimation procedures, the kernel density estimation has attracted the most attention. In this paper, the choices for smoothing parameter is discussed when the widely used Gaussian kernel is used in implementing the kernel density estimate. A simulation study is conducted from several mixtures of normal distributions covering a wide range of distributional shapes.
Authors: Daniel F. Froelich, Mezbahur Rahman
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2222544391