Open AccessBALANCED BOOTSTRAP ESTIMATORS FOR THE PROBABILITY OF MISCLASSIFICATIONS IN DISCRIMINANT ANALYSIS
Author(s) -
I Wayan Mangku
Publication year - 2007
Publication title -
milang journal of mathematics and its applications
Language(s) - English
Resource type - Journals
ISSN - 2963-5233
DOI - 10.29244/jmap.6.1.11-22
Subject(s) - estimator , resampling , statistics , linear discriminant analysis , computer science , bootstrapping (finance) , mathematics , artificial intelligence , econometrics
In this paper we propose new error rate estimators based on balanced bootstrap technique, which are expected to perform better than the existing estimators. These estimators can be computed by means of separate or mixture resampling methodology. We consider both of them.
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