PRACTICAL SIGNIFICANCE AND PARTITIONING VARIANCE IN DISCRIMINANT ANALYSIS
作者： Robert A. Peterson , Vijay Mahajan
DOI: 10.1111/J.1540-5915.1976.TB00708.X
关键词:
摘要: This note sets forth a method for obtaining viable estimates of total discriminatory power in discriminant analysis. In addition, technique based upon this methodisgiven assessing the overall relative importance each predictor variable regardless number functions. Two examples are given to illustrate application method.
sci-hub.se 参考文章(4)
Graham M. Vaughan, Michael C. Corballis, Beyond tests of significance: Estimating strength of effects in selected ANOVA designs. Psychological Bulletin. ,vol. 72, pp. 204- 213 ,(1969) , 10.1037/H0027878
David H. Dodd, Roger F. Schultz, Computational procedures for estimating magnitude of effect for some analysis of variance designs. Psychological Bulletin. ,vol. 79, pp. 391- 395 ,(1973) , 10.1037/H0034347
Franklin B. Evans, Psychological and Objective Factors in The Prediction of Brand Choice Ford Versus Chevrolet The Journal of Business. ,vol. 32, pp. 340- 340 ,(1959) , 10.1086/294291
Peter A. Lachenbruch, On Expected Probabilities of Misclassification in Discriminant Analysis, Necessary Sample Size, and a Relation with the Multiple Correlation Coefficient Biometrics. ,vol. 24, pp. 823- ,(1968) , 10.2307/2528873