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A comparison of parametric conditional error-rate estimators for the two-group linear discriminant function
Abstract:Using mean absolute deviation, we compare the efficay of two new parametric conditional error rate estimators with six others, four of which are well known.The performance of both new estimators is found to be superior to the six competing estimators examined in this paper, especially when the ratio of the training sample size to the feature dimensionality is small.
Keywords:Parametric error rate estimation  Asymptotic expansions  Anderson's linear discriminant function  Monte Carlo simulation
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