JSM 2004 Online Program

Abstract #301969

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Activity Number:	188
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor:	Section on Nonparametric Statistics
Abstract - #301969
Title:	A Practical Description of Density Estimation Based on Kernel Methods
Author(s):	Simon J. Sheather*+
Companies:	University of New South Wales
Address:	AGSM, Sydney, International, 2052, Australia
Keywords:	density estimation ; bandwidth ; data sharpening
Abstract:	This talk will provide a practical description of density estimation based on kernel methods. An important aim of the talk is to encourage practicing statisticians to apply these methods to data. As such reference is made to implementations of these methods in S-PLUS and SAS. Topics covered include bandwidth selection, local likelihood density estimation, and data-sharpening. In addition, we shall compare the performance of some of the methods that have been discussed using a new example involving data from the U.S. PGA tour.

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