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Optimum designs for parameter estimation in linear mixture models with synergistic effects
, N K MANDAL, M L AGGARWAL
Published in TAYLOR & FRANCIS INC
2011
Volume: 40
   
Issue: 11
Pages: 2059 - 2073
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.
About the journal
JournalCommunications in Statistics - Theory and Methods
PublisherTAYLOR & FRANCIS INC
ISSN0361-0926
Open AccessNo