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Activity Number: 251
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #308163
Title: Conditional Confidence Intervals for Classification Error Rate
Author(s): Hie-Choon Chung*+ and Chien-Pai Han
Companies: Gwangju University and University of Texas at Arlington
Address: Dept of e-Business, Gwangju, 503-703, South Korea
Keywords: Conditional Jackknife Confidence Interval ; Conditional Bootstrap Confidence Interval ; Conditional Error Rate ; Monte Carlo Study
Abstract:

An observation is to be classified into one of several multivariate normal populations with equal covariance matrix. When the parameters are unknown, independent training samples are taken from the populations. We consider the construction of confidence interval for the conditional error rate. The cases of two populations and three populations are studied in detail. The conditional jackknife confidence interval and the conditional bootstrap confidence intervals of the conditional error rate are obtained and compared.

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Revised September, 2007