1 "The Department of Statistics, University of Munich, http://www.stat.uni-muenchen.de/"
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3 Markowski, "Some Difficulties and Improvements in Applying LP Formulations to the Discriminant Problem" 237-247, 1985
4 Freed, "Simple but Powerful Goal Programming Models for Discriminant Problems European Journal of Operational Research" 44-60, 1981b
5 Freed, "Resolving Certain Difficulties and Improving the Classification Power of LP Discriminant Analysis Formulations" 589-595, 1986b
6 West, D, "Neural Network Credit Scoring Models" 27 (27): 1131-1152, 2000
7 Koehler, "Minimizing Misclassification in Linear Discriminant Analysis" 63-85, 1990
8 Ragsdale, "Mathematical Programming Formulations for the Discriminant Problem" 296-307, 1991
9 Glover, "Improved Linear and Integer Programming Models for Discriminant Analysis Creative and Innovative Approaches to the Science of Management" RGK Foundation Press 1991187-215
10 Glen J.J, "IP Methods for Normalization and Variable Selection in Mathematical Programming Discriminant Analysis Models" 50 : 1043-1053, 1999
1 "The Department of Statistics, University of Munich, http://www.stat.uni-muenchen.de/"
2 and Koehler, "Survey of Mathematical Programming Models and Experimental Results for Linear Discriminant Analysis" 215-225, 1990
3 Markowski, "Some Difficulties and Improvements in Applying LP Formulations to the Discriminant Problem" 237-247, 1985
4 Freed, "Simple but Powerful Goal Programming Models for Discriminant Problems European Journal of Operational Research" 44-60, 1981b
5 Freed, "Resolving Certain Difficulties and Improving the Classification Power of LP Discriminant Analysis Formulations" 589-595, 1986b
6 West, D, "Neural Network Credit Scoring Models" 27 (27): 1131-1152, 2000
7 Koehler, "Minimizing Misclassification in Linear Discriminant Analysis" 63-85, 1990
8 Ragsdale, "Mathematical Programming Formulations for the Discriminant Problem" 296-307, 1991
9 Glover, "Improved Linear and Integer Programming Models for Discriminant Analysis Creative and Innovative Approaches to the Science of Management" RGK Foundation Press 1991187-215
10 Glen J.J, "IP Methods for Normalization and Variable Selection in Mathematical Programming Discriminant Analysis Models" 50 : 1043-1053, 1999
11 Hsieh, N.-C, "Hybrid Mining Approach in the Design of Credit Scoring Models" 28 (28): 655-665, 2005
12 Gehrlein, "General Mathematical Programming Formulations for the Statistical Classification Problem" 299-304, 1986
13 A, "Four Approaches to the Classification Problem in Discriminant Analysis" 322-333, 1988
14 Freed, "Evaluating Alternative LP Models to Solve the Two-Group Discriminant Problem" 151-162, 1986a
15 Malhotra, R, "Differentiating between Good Credits and Bad Credits Using Neuro-fuzzy Systems" 136 (136): 190-211, 2002
16 Chen, M.C, "Credit Scoring and Rejected Instances Reassigning Through Evolutionary Computation Techniques" 24 (24): 433-441, 2003
17 Lee, T.-S, "Credit Scoring Using the Hybrid Neural Discriminant Technique" 23 (23): 245-254, 2002
18 Hoffmann, F, "Comparing a Genetic Fuzzy and a Neurofuzzy Classifier for Credit Scoring" 17 (17): 1067-1083, 2002
19 Koehler, "Characterization of Unacceptable Solutions in LP Discriminant Analysis" 239-257, 1989a
20 Baesens, B, "Benchmarking State-of-the-art Classification Algorithms for Credit Scoring" 54 (54): 627-635, 2003
21 and Hill, "An Experimental Comparison of Statistical and Linear Programming Approaches to the Discriminant Problem Decision Science" 604-618, 1982
22 Lee T.-S, "A Two-stage Hybrid Credit Scoring Mmodel Using Artificial Neural Networks and Multivariate Adaptive Regression Splines" 28 (28): 743-752, 2005
23 Glover, "A New Class of Models for the Discriminant Problem Decision Science" 269-280, 1988
24 Freed, "A LP Approach to the Discriminant Problem Decision Science" 68-74, 1981a
25 Stam, "A Comparison of a Robust Mixed- Integer Approach to Existing Methods for Establishing Classification Rules for the Discriminant Problem European Journal of Operational Research" 113-122, 1990
26 Desai, V.S, "A Comparison of Neural Networks and Linear Scoring Models in the Credit Union Environment" 95 (95): 24-37, 1996