论文信息 - A Ranking Procedure for Partial Discriminant Analysis

A Ranking Procedure for Partial Discriminant Analysis

Abstract A rank procedure developed by Broffitt, Randles, and Hogg (1976) is modified to control the conditional probability of misclassification given that classification has been attempted. This modification leads to a useful solution to the two-population partial discriminant analysis problem for even moderately sized training sets.

M. E. Johnson | Richard J. Beckman | Mark E. Johnson | R. Beckman | Mark E. Johnson

[1] Ted G. Lewis,et al. Generalized Feedback Shift Register Pseudorandom Number Algorithm , 1973, JACM.

[2] M. E. Johnson,et al. Discriminant analysis applied to aerial radiometric data and its application to Uranium favorability in South Texas , 1981 .

[3] J. Ramberg,et al. Robustness of Fisher's linear discriminant function to departures from normality , 1979 .

[4] G. Marsaglia. RANDOM VARIABLES AND COMPUTERS , 1962 .

[5] Peter A. Lachenbruch,et al. Robustness of the linear and quadratic discriminant function to certain types of non‐normality , 1973 .

[6] Ronald L. Iman,et al. The rank transformation as a method of discrimination with some examples , 1980 .

[7] D. A. Wolf,et al. Application of discriminant analysis and generalized distance measures to uranium exploration , 1980 .

[8] R. Randles,et al. Generalized Linear and Quadratic Discriminant Functions Using Robust Estimates , 1978 .

[9] Robert V. Hogg,et al. Distribution-Free Partial Discriminant Analysis , 1976 .