Split-plot Response Surface Designs

Split-Plot Response Surface Designs is a specialized class of experimental design within response surface methodology that accommodates dual levels of randomization error by combining hard-to-vary and easy-to-vary factors in a nested structure, thereby preserving the integrity of statistical inference when complete randomization is impractical.

83

Publications

24.5K

Citations

136

Authors

83

Institutions

Publications per year

2017–2026

5

Variants

Split-plot Response Surface Design

Authors

136

  1. PG
    Peter Goos

    University of Antwerp, Belgium

    9 publications · 510 citations

    9

    h-index

  2. SM
    Scott M. Kowalski

    Virginia Tech, United States

    6 publications · 278 citations

    6

    h-index

  3. GG
    G. Geoffrey Vining

    Virginia Tech, United States

    5 publications · 262 citations

    5

    h-index

  4. SG
    Steven G. Gilmour

    Queen Mary University of London, United Kingdom

    5 publications · 137 citations

    5

    h-index

  5. JA
    John A. Cornell

    University of Florida, United States

    4 publications · 2.1K citations

    4

    h-index

1–5 of 136

Venues

  1. Technometrics

    12 publications · 2.3K citations

    12

    h-index

  2. Journal of Quality Technology

    12 publications · 671 citations

    11

    h-index

  3. Journal of Statistical Planning and Inference

    7 publications · 1.3K citations

    7

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 6 publications · 222 citations

    6

    h-index

  5. 5

    h-index

1–5