Optimum designs for parameter estimation in linear mixture models with synergistic effects


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. © 2011 Taylor & Francis Group, LLC.

Publication Title

Communications in Statistics - Theory and Methods