Multi-way Sensitivity Analysis

Multi-Way Sensitivity Analysis is a sensitivity analysis method that simultaneously varies multiple parameters across their plausible ranges to assess the combined effect of these parameters on the model output, distinguishing it from one-way or univariate sensitivity analyses by capturing interactions and joint uncertainties among inputs.

55

Publications

7.6K

Citations

172

Authors

116

Institutions

Publications per year

2017–2026

10

Authors

172

  1. PA
    Paola Annoni

    European Commission, Belgium

    4 publications · 1.2K citations

    4

    h-index

  2. AS
    Andrea Saltelli

    Joint Research Centre, Italy

    3 publications · 1.1K citations

    3

    h-index

  3. DG
    David García-Sánchez

    Euskadiko Parke Teknologikoa, Spain

    2 publications · 265 citations

    2

    h-index

  4. BL
    Bruno Lacarrière

    Laboratoire de Génie des Procédés – Environnement – Agro-alimentaire, France

    2 publications · 265 citations

    2

    h-index

  5. RJ
    Radboud J. Duintjer Tebbens

    Centers for Disease Control and Prevention, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 172

Venues

  1. Reliability Engineering & System Safety

    5 publications · 393 citations

    5

    h-index

  2. Environmental Modelling & Software

    4 publications · 1.8K citations

    4

    h-index

  3. 2

    h-index

  4. European Journal of Operational Research

    2 publications · 436 citations

    2

    h-index

  5. Ecological Modelling

    2 publications · 336 citations

    2

    h-index

1–5