Further Research into a Non-Parametric Statistical Screening System.

Abstract

A new statistical technique is introduced for screening a population on the basis of their observed characteristics. The technique treats nominal independent variables with a binary dependent variable. Different objective functions are specified for constructing different decision rules. A recommended decision rule results from achieving a proportionate reduction in error (PRE), by using information in the independent variables rather than just the dependent variables. Current approaches to screening are compared using five desirable properties postulated for decision rules. A Monte Carlo simulation approach is used to construct decision rules using Boolean operators. Finally, a General Sequential Algorithm is presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 14, 1979
Accession Number
ADA081803

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Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Attrition
  • Computer Programs
  • Computers
  • Data Mining
  • Data Science
  • Databases
  • Detection
  • Factor Analysis
  • Information Processing
  • Information Science
  • Probability
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Inference
  • Statistics
  • Theorems

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