Title

Bandwidth Selection Procedures for Kernel Density Estimates

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Keywords

Statistics & Probability

Abstract

A crucial problem in kernel density estimates of a probability density function is the selection of the bandwidth. The aim of this study is to propose a procedure for selecting both fixed and variable bandwidths. The present study also addresses the question of how different variable bandwidth kernel estimators perform in comparison with each other and to the fixed type of bandwidth estimators. The appropriate algorithms for implementation of the proposed method are given along with a numerical simulation.The numerical results serve as a guide to determine which bandwidth selection method is most appropriate for a given type of estimator over a vide class of probability density functions, Also, we obtain a numerical comparison of the different types of kernel estimators under various types of bandwidths.

Journal Title

Communications in Statistics Part a-Theory and Methods

Volume

11

Issue/Number

9

Publication Date

1-1-1982

Document Type

Article

Language

English

First Page

1045

Last Page

1069

WOS Identifier

WOS:A1982NN56900006

ISSN

0361-0926

Share

COinS