A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem

DOI10.1016/0377-2217(90)90304-TzbMath0702.90062OpenAlexW2050178446MaRDI QIDQ915651

Erich A. Joachimsthaler, Antonie Stam

Publication date: 1990

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

Full work available at URL: https://doi.org/10.1016/0377-2217(90)90304-t

zbMATH Keywords

classificationliner discriminant analysisnonparametric mixed-integer programming

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Applications of mathematical programming (90C90) Mixed integer programming (90C11) Linear programming (90C05) Social and behavioral sciences: general topics (91C99) Probabilistic methods, stochastic differential equations (65C99)

Related Items (24)

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Uses Software

• SAS

Cites Work

• Simple but powerful goal programming models for discriminant problems
• Choosing Between Logistic Regression and Discriminant Analysis
• Statistical and Knowledge-Based Approaches to Clinical Decision-Support Systems, with an Application in Gastroenterology
• Measures of multivariate skewness and kurtosis with applications

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