|
|||||
|
|
A multivariate solution of the multivariate ranking and selection problem |
|
| Authors: | Edward J. Dudewicz Vidya S. Taneja |
| Affiliation: | Department of Statistics , The Ohio State University , Columbus, Ohio, 43210 |
| Abstract: | The problem of selection of the best multivariate population is given a new formulation which does not involve reducing the populations to univariate quantities. This formulation's solution is developed for known, and (using the Heteroscedastic Method) also for unknown, variance-covariance matrices. Preference reversals and arbitrary nonlinear preference functions are explicitly allowed in this new theory |
| Keywords: | multivariate analysis Heteroscedastic method multiple criteria multiple objective decision theory Mahalanobis distance multiple correlation generalized variance multidimensional utility utility functions |