Second-order Response Surface Models

Second-Order Response Surface Models is a statistical modeling framework within response surface methodology that specifies a quadratic functional relationship between input variables and a response variable, distinguishing it from first-order or higher-order models by incorporating linear, interaction, and quadratic terms to approximate curvature in the response surface.

259

Publications

24.1K

Citations

574

Authors

295

Institutions

Publications per year

2017–2026

40

Authors

574

  1. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    14 publications · 8.2K citations

    14

    h-index

  2. SH
    Sung H. Park

    Seoul National University, South Korea

    8 publications · 270 citations

    8

    h-index

  3. SK
    S.R. Karnik

    KLE Technological University, India

    8 publications · 264 citations

    8

    h-index

  4. RH
    Raymond H. Myers

    Virginia Tech, United States

    8 publications · 304 citations

    8

    h-index

  5. VG
    V.N. Gaitonde

    KLE Technological University, India

    8 publications · 264 citations

    8

    h-index

1–5 of 574

Venues

  1. Technometrics

    34 publications · 8.6K citations

    25

    h-index

  2. Journal of Quality Technology

    15 publications · 553 citations

    13

    h-index

  3. Journal of the American Statistical Association

    6 publications · 2.3K citations

    6

    h-index

  4. Journal of Statistical Planning and Inference

    5 publications · 291 citations

    5

    h-index

  5. Biometrics

    4 publications · 727 citations

    4

    h-index

1–5