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PRACTICAL SIGNIFICANCE AND PARTITIONING VARIANCE IN DISCRIMINANT ANALYSIS
Author(s) -
Peterson Robert A.,
Mahajan Vijay
Publication year - 1976
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1976.tb00708.x
Subject(s) - discriminant , linear discriminant analysis , optimal discriminant analysis , variance (accounting) , variable (mathematics) , statistics , computer science , mathematics , multivariate analysis of variance , discriminant function analysis , econometrics , artificial intelligence , economics , mathematical analysis , accounting
This note sets forth a method for obtaining viable estimates of total discriminatory power in a discriminant analysis. In addition, a technique based upon this methodisgiven for assessing the overall relative importance of each predictor variable regardless of the number of discriminant functions. Two examples are given to illustrate application of the method.

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