Mixed integer nonlinear goal programming approach to variable selection in linear regression

DOI10.1080/03610918.2019.1636997OpenAlexW2955549484MaRDI QIDQ5086375

Emad E. A. Soliman, Mohammed Albassam, Ali El Hefnawy

Publication date: 5 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1636997

zbMATH Keywords

stepwise regressionforward selection methodbackward elimination methodmixed integer nonlinear goal programing (MINGP)

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Matlab
• GAMS

Cites Work

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• Insight of a fuzzy regression model
• An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis
• Integer programming methods for normalisation and variable selection in mathematical programming discriminant analysis models
• Linear Programming Techniques for Regression Analysis
• Selection of Subsets of Regression Variables

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