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General Blending Models for Data From Mixture Experiments.


ABSTRACT: We propose a new class of models providing a powerful unification and extension of existing statistical methodology for analysis of data obtained in mixture experiments. These models, which integrate models proposed by Scheffé and Becker, extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomenon requires it, but remain simple whenever possible. This article has supplementary material online.

SUBMITTER: Brown L 

PROVIDER: S-EPMC4673519 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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General Blending Models for Data From Mixture Experiments.

Brown L L   Donev A N AN   Bissett A C AC  

Technometrics : a journal of statistics for the physical, chemical, and engineering sciences 20151001 4


We propose a new class of models providing a powerful unification and extension of existing statistical methodology for analysis of data obtained in mixture experiments. These models, which integrate models proposed by Scheffé and Becker, extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomenon requires it, but remain simple whenever possible. This article has supplementary material online. ...[more]

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