1. Preface

   • William V. Gehrlein

   OriginalPaper Pages: 0 - 0

2. Nontraditional approaches to statistical classification: Some perspectives on L_p-norm methods

   • Antonie Stam

   OriginalPaper Pages: 1 - 36

3. Dimensionality representation of linear discriminant function space for the multiple-group problem: An MIP approach

   • Robert Pavur

   OriginalPaper Pages: 37 - 50

4. Solving mixed integer classification problems by decomposition

   • Paul A. Rubin

   OriginalPaper Pages: 51 - 64

5. Constrained discriminant analysis via 0/1 mixed integer programming

   • Richard J. Gallagher
   • Eva K. Lee
   • David A. Patterson

   OriginalPaper Pages: 65 - 88

6. Mathematical programming formulations for two-group classification with binary variables

   • Ognian K. Asparoukhov
   • Antonie Stam

   OriginalPaper Pages: 89 - 112

7. Alternative discriminant vectors in LP models and a regularization method

   • B. Xiao
   • Y. Feng

   OriginalPaper Pages: 113 - 127

8. A mixed integer programming algorithm for minimizing the training sample misclassification cost in two-group classification

   • A. Pedro Duarte Silva
   • Antonie Stam

   OriginalPaper Pages: 129 - 157

9. A two-stage least cost credit scoring model

   • William V. Gehrlein
   • Bret J. Wagner

   OriginalPaper Pages: 159 - 171

10. Examination of the classificatory performance of MIP models with secondary goals for the two-group discriminant problem

    • Robert Pavur
    • Pradit Wanarat
    • Constantine Loucopoulos

    OriginalPaper Pages: 173 - 189

11. Experimental evaluation of the classificatory performance of mathematical programming approaches to the three-group discriminant problem: The case of small samples

    • Constantine Loucopoulos
    • Robert Pavur

    OriginalPaper Pages: 191 - 209

12. Evaluation of an adaptive discriminant procedure

    • Carol A. Markowski
    • Edward P. Markowski

    OriginalPaper Pages: 211 - 222

13. One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute

    • Lowell A. Carmony
    • Paul R. Yarnold
    • Frank Naeymi-Rad

    OriginalPaper Pages: 223 - 238

14. Estimation and testing in least absolute value regression with serially correlated disturbances

    • Terry E. Dielman
    • Elizabeth L. Rose

    OriginalPaper Pages: 239 - 257

15. Permutation-based multivariate regression analysis: The case for least sum of absolute deviations regression

    • Paul W. Mielke Jr.
    • Kenneth J. Berry

    OriginalPaper Pages: 259 - 268

16. Using non-traditional approaches to statistical classification and regression in DSS model analysis

    • David M. Steiger

    OriginalPaper Pages: 269 - 276

17. Deriving the partial values in MCDM by goal programming

    • Jane W. Moy
    • Kim Fung Lam
    • Eng Ung Choo

    OriginalPaper Pages: 277 - 288

18. Total factor efficiency/productivity ratio fitting as an alternative to regression and canonical correlation models for performance data

    • M.D. Troutt
    • Aimao Zhang
    • Arun Rai

    OriginalPaper Pages: 289 - 304

19. W-efficient partitions and the solution of the sequential clustering problem

    • Anito Joseph
    • Noel Bryson

    OriginalPaper Pages: 305 - 319

20. Enhancing graphical simulation output using cluster analysis

    • James DeArmon

    OriginalPaper Pages: 321 - 332