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

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  • Mahesh Kumar Panda
  • Rushi Prasad Sahoo

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.

Suggested Citation

  • Mahesh Kumar Panda & Rushi Prasad Sahoo, 2024. "R-optimal designs for linear log contrast model with mixture experiments," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 53(7), pages 2355-2368, April.
    • Handle: RePEc:taf:lstaxx:v:53:y:2024:i:7:p:2355-2368
    DOI: 10.1080/03610926.2022.2129993
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