Measures of Imbalance for Unbalanced Models.

Abstract

This paper presents a procedure to measure the degree of imbalance of an unbalanced data set. The procedure is based on choosing an appropriate loglinear model for the subclass frequencies of the data. A measure of imbalance is then introduced as some function of the chi-squared statistic used in the goodness-of-fit test for the loglinear model. The proposed procedure can also be used to measure departures from certain types of balancce, such as proportionality of subclass frequencies, partial balance, and last-stage uniformity. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA164638

Entities

People

  • Andre' I. Khuri

Organizations

  • University of Florida

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Binomials
  • Classification
  • Data Science
  • Data Sets
  • Frequency
  • Goodness Of Fit Tests
  • Information Science
  • Military Research
  • New York
  • North Carolina
  • Probability
  • Random Variables
  • Software Testing
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.