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ORCIDAnnals of Operations Research, Volume 74
Volume 74, 1997
- William V. Gehrlein:
Preface. 0 - Antonie Stam:
Nontraditional approaches to statistical classification: Some perspectives on L_p-norm methods. 1 - Robert Pavur:
Dimensionality representation of linear discriminant function space for the multiple-group problem: An MIP approach. 37-50 - Paul A. Rubin:
Solving mixed integer classification problems by decomposition. 51-64 - Richard J. Gallagher, Eva K. Lee, David A. Patterson:
Constrained discriminant analysis via 0/1 mixed integer programming. 65-88 - Ognian K. Asparoukhov, Antonie Stam:
Mathematical programming formulations for two-group classification with binary variables. 89 - B. Xiao, Y. Feng:
Alternative discriminant vectors in LP models and a regularization method. 113-127 - António Pedro Duarte Silva, Antonie Stam:
A mixed integer programming algorithm for minimizing the training sample misclassification cost in two-group classification. 129-157 - William V. Gehrlein, Bret J. Wagner:
A two-stage least cost credit scoring model. 159-171 - Robert Pavur, Pradit Wanarat, Constantine Loucopoulos:
Examination of the classificatory performance of MIP models with secondary goals for the two-group discriminant problem. 173-189 - Constantine Loucopoulos, Robert Pavur:
Experimental evaluation of the classificatory performance of mathematical programming approaches to the three-group discriminant problem: The case of small samples. 191-209 - Carol A. Markowski, Edward P. Markowski:
Evaluation of an adaptive discriminant procedure. 211-222 - Lowell A. Carmony, Paul R. Yarnold, Frank Naeymi-Rad:
One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute. 223-238 - Terry E. Dielman, Elizabeth L. Rose:
Estimation and testing in least absolute value regression with serially correlated disturbances. 239-257 - Paul W. Mielke Jr., Kenneth J. Berry:
Permutation-based multivariate regression analysis: The case for least sum of absolute deviations regression. 259 - David M. Steiger:
Using non-traditional approaches to statistical classification and regression in DSS model analysis. 269-276 - Jane W. Moy, Kim Fung Lam, Eng Ung Choo:
Deriving the partial values in MCDM by goal programming. 277-288 - Marvin D. Troutt, Aimao Zhang, Suresh K. Tadisina, Arun Rai:
Total factor efficiency/productivity ratio fitting as an alternative to regression and canonical correlation models for performance data. 289-304 - Anito Joseph, Noel Bryson:
W-efficient partitions and the solution of the sequential clustering problem. 305-319 - James DeArmon:
Enhancing graphical simulation output using cluster analysis. 321-332
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