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General Blending Models for Data From Mixture Experiments

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 th...

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Detalles Bibliográficos
Autores principales: Brown, L., Donev, A. N., Bissett, A. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673519/
https://www.ncbi.nlm.nih.gov/pubmed/26681812
http://dx.doi.org/10.1080/00401706.2014.947003
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author Brown, L.
Donev, A. N.
Bissett, A. C.
author_facet Brown, L.
Donev, A. N.
Bissett, A. C.
author_sort Brown, L.
collection PubMed
description 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.
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spelling pubmed-46735192015-12-15 General Blending Models for Data From Mixture Experiments Brown, L. Donev, A. N. Bissett, A. C. Technometrics Original Articles 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. Taylor & Francis 2015-10-02 2015-11-16 /pmc/articles/PMC4673519/ /pubmed/26681812 http://dx.doi.org/10.1080/00401706.2014.947003 Text en © 2015 The Author(s). Published with license by Taylor & Francis http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted.
spellingShingle Original Articles
Brown, L.
Donev, A. N.
Bissett, A. C.
General Blending Models for Data From Mixture Experiments
title General Blending Models for Data From Mixture Experiments
title_full General Blending Models for Data From Mixture Experiments
title_fullStr General Blending Models for Data From Mixture Experiments
title_full_unstemmed General Blending Models for Data From Mixture Experiments
title_short General Blending Models for Data From Mixture Experiments
title_sort general blending models for data from mixture experiments
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673519/
https://www.ncbi.nlm.nih.gov/pubmed/26681812
http://dx.doi.org/10.1080/00401706.2014.947003
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