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A Model Selection Algorithm for Mixture Experiments Including Process Variables

Published in Contributions to statistics • May 11, 2007
NobleIDNI3P64W18R52S08
Authors:
Hugo Maruri-Aguilar
,
Eva Riccomagno

Abstract

Experiments with mixture and process variables are often constructed as the cross product of a mixture and a factorial design. Often it is not possible to implement all the runs of the cross product design, or the cross product model is too large to be of practical interest. We propose a methodology...

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