Computer Experiment Response Surfaces

Computer Experiment Response Surfaces is a statistical modeling framework within response surface methodology that specifically characterizes the relationship between controllable input variables and output responses in deterministic computer simulations, distinguished by its focus on interpolating and approximating complex, non-randomized computational processes using metamodels such as Gaussian processes or splines.

77

Publications

24.5K

Citations

179

Authors

97

Institutions

Publications per year

2017–2026

13

Authors

179

  1. DC
    Douglas C. Montgomery

    Arizona State University, United States

    4 publications · 10K citations

    4

    h-index

  2. RB
    Robert B. Gramacy

    University of Chicago, United States

    3 publications · 545 citations

    3

    h-index

  3. AT
    Akira TODOROKI

    Tokyo Institute of Technology, Japan

    3 publications · 73 citations

    3

    h-index

  4. HK
    Herbert K. H. Lee

    University of California, Santa Cruz, United States

    3 publications · 545 citations

    3

    h-index

  5. GE
    George E. P. Box

    University of Wisconsin–Madison, United States

    3 publications · 411 citations

    3

    h-index

1–5 of 179

Venues

  1. Technometrics

    10 publications · 18.4K citations

    10

    h-index

  2. Journal of Quality Technology

    7 publications · 681 citations

    7

    h-index

  3. International Journal of Production Research

    2 publications · 61 citations

    2

    h-index

  4. 2

    h-index

  5. Statistics and Computing

    2 publications · 630 citations

    2

    h-index

1–5