Mixture Response Surface Models
Mixture Response Surface Models is a statistical modeling framework within response surface methodology that specifically characterizes the relationship between proportions of components in a mixture and a response variable, distinguished by its constraint that component proportions sum to one and its focus on optimizing formulations in experimental settings involving blended materials.
69
Publications
2.5K
Citations
153
Authors
80
Institutions
Publications per year
2017–2026
13
Variants
Mixture Response Surface Methodology
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Tabriz University of Medical Sciences
Tabriz, Iran
6 h-index
16 publications
670 citations
University of Florida
Gainesville, United States
6 h-index
10 publications
398 citations

University of Bradford
Bradford, United Kingdom
4 h-index
8 publications
115 citations

The University of Sydney
Sydney, Australia
3 h-index
6 publications
281 citations
Arizona State University
Tempe, United States
3 h-index
4 publications
56 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
43 citations

University of Georgia
Athens, United States
2 h-index
6 publications
147 citations
DuPont (United States)
Wilmington, United States
2 h-index
4 publications
228 citations
1–8 of 80
11 publications · 397 citations
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4 publications · 109 citations
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3 publications · 274 citations
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JFS · 3 publications · 128 citations
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2 publications · 114 citations
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