Optimum designs for parameter estimation in linear mixture models with synergistic effects
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. © 2011 Taylor & Francis Group, LLC.
Publication Title
Communications in Statistics - Theory and Methods
Recommended Citation
Pal, M., Mandal, N., & Aggarwal, M. (2011). Optimum designs for parameter estimation in linear mixture models with synergistic effects. Communications in Statistics - Theory and Methods, 40 (11), 2059-2073. https://doi.org/10.1080/03610921003734822
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