General Blending Models for Data From Mixture Experiments

L Brown; A. N. Donev; A. Bissett

doi:10.1080/00401706.2014.947003

General Blending Models for Data From Mixture Experiments

L Brown, A. N. Donev, A. Bissett

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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 ScheffÃ© (1958, 1963) and Becker (1968, 1978), extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomena requires it, but remain simple whenever possible. This paper has supplementary material online.

Original language	English
Pages (from-to)	449-456
Number of pages	7
Journal	Technometrics: a journal of statistics for the physical, chemical and engineering sciences
Volume	57
Issue number	4
DOIs	https://doi.org/10.1080/00401706.2014.947003
Publication status	Published - 1 Nov 2015

Keywords

Beckerâs models, ScheffÃ© polynomials, model selection, nonlinear models

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10.1080/00401706.2014.947003

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General Blending Models for Data From Mixture Experiments

Abstract

Keywords

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