Rank Distance TO Choose Discriminators for Two Groups.
Abstract
The rank distance method of classifying suggested by Zimmerman is defined for equisized training samples from two groups. A method for accepting or rejecting a proposed discriminator variable is described based on the number of misclassifications of the training set. To aid in implementing this choice, the distribution of the number of misclassifications under the null hypothesis is computed and presented for sample sizes up to twelve from each of the two groups. Some general characteristics of this distribution as a function of sample size are noted. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1971
- Accession Number
- AD0738290
Entities
People
- Harry M. Hughes
- Richard C. Mcnee
Organizations
- United States Air Force School of Aerospace Medicine