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MC-SC2 Publications about: discriminant analysis
Articles in journal or book chapters
  1. S. Bose. Multilayer statistical classifiers. Computational Statistics & Data Analysis, 42(4):685-701, 2003. Keyword(s): classification, cubic splines, discriminant analysis, neural networks, CART, simulation. [bibtex-entry]

  2. J. Glen. An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis. Computers & Operations Research, 30:181-198, 2003. Keyword(s): discriminant analysis, mathematical programming, variable selection. [bibtex-entry]

  3. K. Lam and J. Moy. A piecewise linear programming approach to the two-group discriminant problem: An adaptation to Fisher´s linear discriminant function model. European Journal of Operational Research, 145:471-481, 2003. Keyword(s): linear programming, non-linear programming, multivariate statistics, discriminant analysis. [bibtex-entry]

  4. K. Lam and J. Moy. A simple weighting scheme for classification in two-group discriminant problems. Computers & Operations Research, 30:155-164, 2003. Keyword(s): classification, discriminant analysis, linear programming, statistics. [bibtex-entry]

  5. K. Lam and J. Moy. Combining discriminant methods in solving classification problems int two-group discriminant analysis. European Journal of Operational Research, 138:294-301, 2002. Keyword(s): linear programming, goal programming, multivariate statistics, classification, combining, discriminant analysis. [bibtex-entry]

  6. P. Pendharkar. A Computational study on the performance of artificial neural networks under changing structural design and data distribution. European Journal of Operational Research, 138:155-177, 2002. Keyword(s): artificial neural networks, discriminant analysis. [bibtex-entry]

  7. P. Pendharkar. A potencial use of data envelopment analysis for the inverse classification problem. Omega - The International Journal of Management Science, 30:243-248, 2002. Keyword(s): classification, data envelopment analysis, linear programming, discriminant analysis. [bibtex-entry]

  8. M. Doumpos, S. Zanakis, and C. Zopounidis. Multicriteria preference disaggregation for classification problems with an application to global investing risk. Decision Sciences, 32(2):333-385, 2001. Keyword(s): financial DSS, globalization, investment risk, judgment analysis, mathematical programming, multicriteria decision making, regression, classification, discriminant analysis. [bibtex-entry]

  9. M. Doumpos and C. Zopounidis. Assessing financial risks using a multicriteria sorting procedure: The case of country risk assessment. Omega - The International Journal of Management Science, 29(1):97-109, 2001. Keyword(s): classification, country risk, discriminant analysis, multicriteria. [bibtex-entry]

  10. C. Loucopoulos. Three-group classification with unequal misclassification costs: A mathematical programming approach. Omega - The International Journal of Management Science, 29:291-297, 2001. Keyword(s): mathematical programming, discriminant analysis, MBA admissions. [bibtex-entry]

  11. R. Major and C. Ragsdale. Aggregating expert predictions in a networked environment. Computers & Operations Research, 28:1231-1244, 2001. Keyword(s): distributed processing, discriminant analysis, two-group classification. [bibtex-entry]

  12. P. Pendharkar. An empirical study of design and testing of hybrid evolutionary-neural approach for classification. Omega - The International Journal of Management Science, 29:361-374, 2001. Keyword(s): artificial intelligence, artificial neural networks, genetic algorithm, discriminant analysis, classification, learning. [bibtex-entry]

  13. L. Chiang, E. Russell, and R. Braatz. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis. Chemometrics and Intelligent Laboratory Systems, 50:243-252, 2000. Keyword(s): Fisher's discriminant analysis, discriminant partial least squares, principal component analysis, dimensionality reduction, multivariate statistics, large scale systems, fault detection, chemometric methods, discriminant analysis, pattern classification. [bibtex-entry]

  14. R. Major and C. Ragsdale. An aggregation approach to the classification problem using multiple prediction experts. Information Processing and Management, 36:683-696, 2000. Keyword(s): discriminant analysis, aggregation, binary classification, maximum entropy, binomial weights. [bibtex-entry]

  15. A. Dimitras, R. Słowiński, R. Susmaga, and C. Zopounidis. Business failure prediction using rough sets. European Journal of Operational Research, 114(2):263-280, 1999. Keyword(s): business failure prediction, rough set theory, discriminant analysis, decision rules, classification. [bibtex-entry]

  16. I. Morlini. Radial basis function networks with partially classified data. Ecological Modelling, 120:109-118, 1999. Keyword(s): classification, discriminant analysis, mixture analysis, radial basis function networks. [bibtex-entry]

  17. C. Zopounidis and M. Doumpos. A multicriteria decision aid methodology for sorting decision problems: The case of financial distress. Computational Economics, 14(3):197-218, 1999. Keyword(s): bankruptcy risk, discriminant analysis, financial distress, multicriteria decision aid, ordinal regression, sorting, FINCLAS. [bibtex-entry]

  18. Z. Sinuany-Stern and L. Friedman. Theory and Methodology: DEA and the discriminant analysis of ratios for ranking units. European Journal of Operational Research, 111(3):470-478, 1998. Keyword(s): data envelopment analysis, discriminant analysis, ranking, scaling, multicriteria decision analysis. [bibtex-entry]

  19. O. Asparoukhov and A. Stam. Mathematical programming formulations for two-group classification with binary variables. Annals of Operations Research, 74:89-112, 1997. Keyword(s): binary variables, classification analysis, discriminant analysis, linear programming, mixed integer programming. [bibtex-entry]

  20. I. Olmeda and E. Fernández. Hybrid classifiers for financial multicriteria decision making: The case of bankruptcy prediction. Computational Economics, 10(4):317-335, 1997. Keyword(s): bankruptcy prediction, artificial neural networks, logit, C4.5, MARS, discriminant analysis, evolutionary programming. [bibtex-entry]

  21. P. Wanarat and R. Pavur. Examining the effect of second-order terms in mathematical programming approaches to the classification problem. European Journal of Operational Research, 93:582-601, 1996. Keyword(s): mathematical programming, linear programming, mixed integer programming, discriminant analysis. [bibtex-entry]



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Last modified: Fri Dec 15 07:05:48 2006
Author: Juscelino Dias.

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