Further applications of bias to discriminant analysis
Authors:
Pasquale J. Di Pillo
Affiliation:
Baruch College , The City University of New York ,
Abstract:
This article extends the biased minimum x2 rule to the unequal covariance matrix case and to the case of several populations, The biased procedure is shown to improve the performance of the commonly used classification procedures. Results of sampling experiments over a broad range of conditions are provided to demonstrate this improvement.