A multivariate solution of the multivariate ranking and selection problem |
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| Authors: | Edward J. Dudewicz Vidya S. Taneja |
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| Affiliation: | Department of Statistics , The Ohio State University , Columbus, Ohio, 43210 |
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| 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 |
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| Keywords: | multivariate analysis Heteroscedastic method multiple criteria multiple objective decision theory Mahalanobis distance multiple correlation generalized variance multidimensional utility utility functions |
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