Chance Factors in Nonparametric Linear Discriminant Studies

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Abstract
Studies were performed to determine if the screening of large pools of prospective variables could lead to fortuitous improvements in the classification success rates provided by nonparametric linear discriminants. These studies parallel earlier work by Topliss and Edwards on regression analysis. It was found that fortuitous increases do occur, but could probably be kept low if the number of examined variables is kept below one‐half the number of observations.

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