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Optimum mixture designs in some constrained experimental regions
N K MANDAL,
Published in Taylor and Francis Inc.
2017
Volume: 46
   
Issue: 9
Pages: 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. © 2017 Taylor & Francis Group, LLC.
About the journal
JournalData powered by TypesetCommunications in Statistics - Theory and Methods
PublisherData powered by TypesetTaylor and Francis Inc.
ISSN0361-0926
Open AccessNo