Estimation of Error Rates in Discriminant Analysis with Selection of Variables

Biometrics ◽  
1989 ◽  
Vol 45 (1) ◽  
pp. 289 ◽  
Author(s):  
Steven M. Snapinn ◽  
James D. Knoke
Keyword(s):  
Discriminant Analysis ◽  
Error Rates ◽  
Estimation Of Error ◽  
Selection Of Variables ◽  
Selection Of

Estimation of Error Rates in Several-Population Discriminant Analysis

1982 ◽  
Vol 19 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Stephen C. Hora ◽  
James B. Wilcox
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Discriminant Analysis ◽  
Classification Accuracy ◽  
Posterior Probability ◽  
Error Rates ◽  
Discriminant Functions ◽  
Linear Discriminant ◽  
Probability Estimator ◽  
Estimation Of Error

Researchers seeking to estimate the classification accuracy of linear discriminant functions in a more than two-population setting have had little guidance as to the most appropriate technique. The authors review the available techniques and present an additional alternative which combines features of the U-method and the recently developed posterior probability estimator. The new alternative is compared with other methods by Monté Carlo simulation.

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