R-optimal designs for linear log contrast model with mixture experiments

Mahesh Kumar Panda and Rushi Prasad Sahoo

Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 7, 2355-2368

Abstract: The R-optimality criterion is proposed in the literature as an alternative to the most frequently used D-optimality criterion. This criterion can be used in the experimental design when the main objective is to construct a rectangular confidence region. The present work investigates the R-optimal designs of the linear log contrast model supported on the general q-mixture components. The necessary and sufficient conditions of R-optimality have been examined by the equivalence theorem.

Date: 2024
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DOI: 10.1080/03610926.2022.2129993

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