Three and Four Component R-, A- and D-optimal Allocations for an Additive Quadratic Mixture Model

Authors

  • Bushra Husain Women’s College, Department of Statistics and O.R., Aligarh Muslim University, Aligarh, Uttar Pradesh, India
  • Fariha Aslam Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, Uttar Pradesh, India

Keywords:

Mixture experiments, optimal designs, R-optimal design, A-optimal design, D-optimal design

Abstract

Optimal mixture experiments are a powerful tool for systematically exploring and optimizing the composition of mixtures. In this paper, we have presented a new additive quadratic mixture model and have obtained R-, A- and D-optimal allocations for three and four component mixtures. The obtained designs have been checked for optimality using the equivalence theorem.

References

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Husain B, Parveen S. F-Square based four component D-, A-and E-optimal orthogonal designs for an additive quadratic mixture model. J Indian Soc Probab Stat. 2016; 17(1): 95-109.

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Published

2026-09-30

How to Cite

Husain, B., & Aslam, F. (2026). Three and Four Component R-, A- and D-optimal Allocations for an Additive Quadratic Mixture Model . Thailand Statistician, 24(4), 1012–1026. retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/268373

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Articles