The two-group discriminant problem with equal group mean vectors: An experimental evaluation of six linear/nonlinear programming formulations

DOI10.1016/0377-2217(94)90370-0zbMath0809.90133OpenAlexW2074748491MaRDI QIDQ1333458

Jamshid C. Hosseini, Robert L. Armacost

Publication date: 15 September 1994

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(94)90370-0

zbMATH Keywords

simulationmultivariate statisticsmultiple discriminant analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of mathematical programming (90C90)

Related Items (5)

Computational characteristics of a new mathematical programming model for the three-group discriminant problem ⋮ A comparative study of the effect of the position of outliers on classical and nontraditional approaches to the two-group classification problem ⋮ The detection of earnings manipulation: the three-phase cutting plane algorithm using mathematical programming ⋮ Addressing the multigroup discriminant problem using multivariate statistics and mathematical programming ⋮ Multicriteria classification and sorting methods: A literature review

Uses Software

• LINDO
• IMSL Numerical Libraries
• SAS

Cites Work

• A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem
• Discriminant analysis via mathematical programming: Certain problems and their causes
• Simple but powerful goal programming models for discriminant problems
• Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming

This page was built for publication: The two-group discriminant problem with equal group mean vectors: An experimental evaluation of six linear/nonlinear programming formulations