Regression Validation

Regression Validation is a functional validation method that assesses the extent to which a model, system, or component maintains previously established performance or behavioral characteristics after modifications, by systematically comparing outputs against a defined baseline under consistent conditions.

21

Publications

2.8K

Citations

44

Authors

25

Institutions

Publications per year

2017–2026

1

Authors

44

  1. RD
    Ronald D. Snee

    DuPont (United States), United States

    2 publications · 1.4K citations

    2

    h-index

  2. HM
    Harald Martens

    Norwegian University of Life Sciences, Norway

    2 publications · 358 citations

    2

    h-index

  3. PD
    Pierre Dardenne

    Walloon Agricultural Research Centre, Belgium

    1 publications · 345 citations

    1

    h-index

  4. DG
    David G. Mayer

    New South Wales Department of Primary Industries, Australia

    1 publications · 121 citations

    1

    h-index

  5. SH
    Steve Harrison

    The University of Queensland, Australia

    1 publications · 81 citations

    1

    h-index

1–5 of 44

Venues

  1. Agricultural Systems

    4 publications · 379 citations

    4

    h-index

  2. Technometrics

    4 publications · 1.5K citations

    4

    h-index

  3. 2

    h-index

  4. Global Journal of Human Social Science

    1 publications · 14 citations

    1

    h-index

  5. INFORMS Journal on Applied Analytics

    1 publications · 17 citations

    1

    h-index

1–5