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

Authors

153

  1. AJ
    Abolghasem Jouyban

    Tabriz University of Medical Sciences, Iran

    9 publications · 413 citations

    9

    h-index

  2. JA
    John A. Cornell

    University of Florida, United States

    5 publications · 204 citations

    5

    h-index

  3. DC
    Douglas C. Montgomery

    Arizona State University, United States

    4 publications · 57 citations

    4

    h-index

  4. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    4 publications · 157 citations

    4

    h-index

  5. HC
    Hak‐Kim Chan

    The University of Sydney, Australia

    3 publications · 122 citations

    3

    h-index

1–5 of 153

Venues

  1. Technometrics

    11 publications · 397 citations

    10

    h-index

  2. Journal of Quality Technology

    4 publications · 109 citations

    4

    h-index

  3. Chemical and Pharmaceutical Bulletin

    3 publications · 274 citations

    3

    h-index

  4. Journal of Food Science

    JFS · 3 publications · 128 citations

    3

    h-index

  5. 2

    h-index

1–5