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Designing Experiments with Respect to 'Standardized' Optimality Criteria
Authors:Holger Dette
Institution:Ruhr-Universität Bochum, Germany
Abstract:We introduce a new class of `standardized' optimality criteria which depend on `standardized' covariances of the least squares estimators and provide an alternative to the commonly used criteria in design theory. Besides a nice statistical interpretation the new criteria satisfy an extremely useful invariance property which allows an easy calculation of optimal designs on many linearly transformed design spaces.
Keywords:A-optimality  Bonferroni t-intervals              D-optimality  Elfving's minimax criterion  ellipsoid of concentration  invariance  scaling of design space  standardized optimality criteria
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