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- W2068292749 abstract "A computationally efficient nonparametric algorithm is proposed for the selection of variables in allocatory discriminant analysis. The efficiency of the algorithm derives from an ability to reuse calculations for the inverse of a nonsingular matrix. A subset of the original variables is found for which the leave-one-out estimate of the conditional probability of misclassification is never significantly greater than the estimated conditional probability of misclassification for the full set of predicate variables." @default.
- W2068292749 created "2016-06-24" @default.
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- W2068292749 date "1990-12-01" @default.
- W2068292749 modified "2023-09-27" @default.
- W2068292749 title "A Non-Parametric Variable Selection Algorithm for Allocatory Linear Discriminant Analysis" @default.
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- W2068292749 doi "https://doi.org/10.1177/0013164490504012" @default.
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