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Optimum Designs for Parameter Estimation in Linear Mixture Models with Synergistic Effects
Authors:Manisha Pal  Nripes K Mandal  M L Aggarwal
Institution:1. Department of Statistics , Calcutta University , Calcutta , India manishapal2@gmail.com;3. Department of Statistics , Calcutta University , Calcutta , India;4. Department of Mathematical Sciences , University of Memphis , Memphis , Tennessee , USA
Abstract:In this article, we derive optimum designs for parameter estimation in a mixture experiment when the response function is linear in the mixing components with some synergistic effects. The D- and A-optimality criteria have been used for the purpose. The Equivalence Theorem has been used to check for the optimality of the proposed designs.
Keywords:A-optimality  Becker's models  D-optimality  Equivalence theorem  Linear models with synergistic effects  Mixture experiment
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