An Algorithm for Critical Values of the Two-Group Rank Distance Classification Statistic

Abstract

The rank distance method is restated for discriminating between two groups using a single variable. A formula is derived for the probability of misclassifications in a training set of n observations from each group. Knowledge of this probability permits inference as to the appropriateness of the variable for discrimination purposes. The formula is exact only for values of U below a bound which is proportional to n. A table of numerical values indicates the formula to be useful up to about n = 25 but not beyond n = 40.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1971
Accession Number
AD0737567

Entities

People

  • Harry M. Hughes
  • Richard C. Mcnee

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Air Force
  • Air Force Facilities
  • Algorithms
  • Classification
  • Computations
  • Data Science
  • Information Science
  • Observation
  • Order Statistics
  • Probability
  • Security
  • Statistics
  • Training

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference