JSM 2004 Online Program

Abstract #300789

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Activity Number:	404
Type:	Contributed
Date/Time:	Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistical Computing
Abstract - #300789
Title:	Bootstrap Confidence Intervals for Classification Error Rate in Circular Models
Author(s):	Hie-Choon Chung*+ and Chien-Pai Han
Companies:	Gwangju University and University of Texas, Arlington
Address:	592-1 Jinwoldong, Namgu, Gwangju, 502-703, South Korea
Keywords:	bootstrap confidence interval ; error rate ; block of missing observations ; circular models ; intraclass correlation ; Monte Carlo study
Abstract:	In circular models, we consider bootstrap confidence intervals for classification error rate when the training samples contain a block of missing observations, and when observations are randomly missing. We also consider bootstrap confidence intervals for classification error rate with intraclass correlation when observations are randomly missing. A Monte Carlo study is conducted to evaluate the coverage probability and the average length of the confidence interval.

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