Parameter Influence Analysis

Parameter Influence Analysis is a systematic methodological approach within the interpretation of results that identifies and quantifies the relative impact of individual model parameters on the outcomes of a computational or statistical model, distinguishing it from general sensitivity analyses by focusing specifically on directional and magnitude effects of parameter variations.

163

Publications

6.5K

Citations

400

Authors

204

Institutions

Publications per year

2017–2026

28

Authors

400

  1. GA
    Gilberto A. Paula

    Universidade de São Paulo, Brazil

    8 publications · 467 citations

    8

    h-index

  2. AH
    Andy H. Lee

    Curtin University, Australia

    6 publications · 142 citations

    6

    h-index

  3. MG
    Manuel Galea

    University of Valparaíso, Chile

    6 publications · 290 citations

    6

    h-index

  4. RD
    R. Dennis Cook

    University of Minnesota, United States

    5 publications · 524 citations

    5

    h-index

  5. SL
    Shuangzhe Liu

    University of Canberra, Australia

    4 publications · 159 citations

    4

    h-index

1–5 of 400

Venues

  1. 9

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 9 publications · 653 citations

    9

    h-index

  3. 6

    h-index

  4. Technometrics

    6 publications · 373 citations

    6

    h-index

  5. Journal of Applied Statistics

    5 publications · 205 citations

    5

    h-index

1–5