CLASSIFICATION AND DISCRIMINATION IN THE ANALYSIS OF CREDIT RISKS: II.

Abstract

The report introduces a decision-theoretic approach to the problem of discriminating among several categories of credit risks. Bayesian decision rules are discussed and illustrated by a numerical example. Limitations of linear discriminant methods are pointed out. Practical problems concerning the unbiased testing of classification rules, the discriminations of rare patterns and the updating of the available statistical information are also discussed. The report concludes with a brief treatment of new approaches to sequential classification. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1968
Accession Number
AD0668322

Entities

People

  • Giandomenico Majone

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Algebra
  • Classification
  • Discrimination
  • Mathematics
  • Social Problems

Readers

  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy