An MDI Procedure for Vulnerability Segmentation Tests.

Abstract

This note describes a minimum discrimination information (MDI) method for testing the validity of the composite hypothesis involved in a 'vulnerability segmentation,' i.e., a set of groupings of products resulting from the vulnerability ratio algorithm of Charnes, Cooper, Learner, and Phillips. The test is based on the large sample chi-square and multi-normal distribution properties of the functions involved and the minimum discrimination information (MDI) statistic. An algorithm for effecting these tests is supplied which admits of straightforward implementation and computation via the well known and generally available SUMT program of Fiacco and McCormick. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA092947

Entities

People

  • Abraham Charnes
  • D. B. Learner
  • F. Y. Phillips
  • William W. Cooper

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Business Administration
  • Commerce
  • Composite Materials
  • Computer Vision
  • Data Science
  • Discrimination
  • Factor Analysis
  • Hypotheses
  • Information Science
  • Market Research
  • Marketing
  • Statistical Tests
  • Statistics
  • Switching
  • United States Government
  • Vulnerability

Readers

  • Neural Network Machine Learning.
  • Operations Research
  • Regression Analysis.