Model Adequacy Checking

Model Adequacy Checking is a statistical evaluation procedure within Response Surface Methodology that assesses the goodness-of-fit and validity of an estimated response surface model by diagnosing residuals, detecting lack-of-fit, and verifying assumptions of independence, normality, and homoscedasticity to ensure the model accurately represents the underlying experimental data.

136

Publications

19.1K

Citations

338

Authors

179

Institutions

Publications per year

2017–2026

31

Authors

338

  1. DC
    Douglas C. Montgomery

    Arizona State University, United States

    3 publications · 5.5K citations

    3

    h-index

  2. MB
    Mevin B. Hooten

    United States Geological Survey, United States

    2 publications · 271 citations

    2

    h-index

  3. TC
    Tianxi Cai

    Harvard University, United States

    2 publications · 41 citations

    2

    h-index

  4. DC
    D. C. Montgomery

    2 publications · 1.5K citations

    2

    h-index

  5. GC
    George C. Derringer

    Battelle, United States

    2 publications · 40 citations

    2

    h-index

1–5 of 338

Venues

  1. Biometrics

    8 publications · 853 citations

    8

    h-index

  2. Statistics in Medicine

    4 publications · 102 citations

    4

    h-index

  3. Technometrics

    4 publications · 80 citations

    4

    h-index

  4. Journal of the American Statistical Association

    4 publications · 5.8K citations

    4

    h-index

  5. Journal of Time Series Analysis

    3 publications · 341 citations

    3

    h-index

1–5