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Journal of Statistical Computation and Simulation Volume 41, 1992 - Issue 1-2
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Original Articles

A comparison of the classical and the linear programming approaches to the classification problem in discriminant analysis

Ravinder Nath Management Information Systems & Decision Sciences Fogelman College of Business and Economics, Memphis State University, Memphis, TN, 38152
,
Wade M. Jackson Management Information Systems & Decision Sciences, Fogelman College of Business and Economics, Memphis State University, Memphis, TN, 38152
&
Thomas W. Jones Computer Information Systems & Quantitative Analysis, College of Business Administration, University of Arkansas, Fayetteville, AR, 72701
Pages 73-93 | Received 03 Jan 1991, Published online: 20 Mar 2007

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Filiz Kardiyen & Hülya Olmuş. (2016) A Comparison of Two Group Classification Approaches to Fat-tailed and Skewed Data. Communications in Statistics - Simulation and Computation 45:1, pages 17-32.
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Articles from other publishers (12)

Jarmila Horváthová & Martina Mokrišová. (2020) Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health. Information 11:3, pages 160.
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Maria Kovacova, Tomas Kliestik, Katarina Valaskova, Pavol Durana & Zuzana Juhaszova. (2019) Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries. Oeconomia Copernicana 10:4, pages 743-772.
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M. KovacovaK. ValaskovaP. DuranaJ. Kliestikova. (2019) Innovation Management of the Bankruptcy: Case Study of Visegrad Group Countries. Marketing and Management of Innovations:4, pages 241-251.
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Eva K. Lee. 2018. Decision Analytics and Optimization in Disease Prevention and Treatment. Decision Analytics and Optimization in Disease Prevention and Treatment 367 400 .
MINGHE SUN. (2012) A MIXED INTEGER PROGRAMMING MODEL FOR MULTIPLE-CLASS DISCRIMINANT ANALYSIS. International Journal of Information Technology & Decision Making 10:04, pages 589-612.
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Eva K. Lee. (2007) Large-Scale Optimization-Based Classification Models in Medicine and Biology. Annals of Biomedical Engineering 35:6, pages 1095-1109.
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S. Sarasamma & Q.A. Zhu. (2006) Min-max hyperellipsoidal clustering for anomaly detection in network security. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 36:4, pages 887-901.
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J.J. Glen. (2003) An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis. Computers & Operations Research 30:2, pages 181-198.
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Qiuming Zhu, Yao Cai & Luzheng Liu. (2001) A multiple hyper-ellipsoidal subclass model for an evolutionary classifier. Pattern Recognition 34:3, pages 547-560.
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Lyn C. Thomas. (2000) A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. International Journal of Forecasting 16:2, pages 149-172.
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Qiuming Zhu, Yao Cai & Luzheng Liu. (1999) A global learning algorithm for a RBF network. Neural Networks 12:3, pages 527-540.
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Qiuming Zhu & Yao Cai. (1998) A subclass model for non-linear pattern classification. Pattern Recognition Letters 19:1, pages 19-29.
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