Optimum mixture designs in some constrained experimental regions

Nripes Kumar Mandal and Manisha Pal

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 9, 4240-4249

Abstract: In a mixture experiment, the response depends on the mixing proportions of the components present in the mixture. Optimum designs are available for the estimation of parameters of the models proposed in such situations. However, these designs are found to include the vertex points of the simplex Ξ defining the experimental region, which are not mixtures in the true sense. Recently, Mandal et al. (2015) derived optimum designs when the experiment is confined to an ellipsoidal region within Ξ, which does not include the vertices of Ξ. In this paper, an attempt has been made to find optimum designs when the experimental region is a simplex or is cuboidal inside Ξ and does not contain the extreme points.

Date: 2017
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DOI: 10.1080/03610926.2015.1080844

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