Threshold Model Validation

Threshold Model Validation is a methodological process that assesses the correctness, robustness, and generalizability of a threshold model by evaluating its ability to accurately identify and distinguish regimes or states defined by critical thresholds within a given system or dataset.

90

Publications

5K

Citations

293

Authors

161

Institutions

Publications per year

2017–2026

22

Authors

293

  1. KW
    K.A. Weigel

    University of Wisconsin–Madison, United States

    4 publications · 188 citations

    4

    h-index

  2. DG
    Daniel Gianola

    University of Wisconsin–Madison, United States

    4 publications · 770 citations

    4

    h-index

  3. BH
    B. Heringstad

    Norwegian University of Life Sciences, Norway

    3 publications · 173 citations

    3

    h-index

  4. RR
    Romdhane Rekaya

    University of Georgia, United States

    3 publications · 191 citations

    3

    h-index

  5. SB
    Sandra Betton

    Concordia University, Canada

    2 publications · 67 citations

    2

    h-index

1–5 of 293

Venues

  1. Journal of Dairy Science

    JDS · 3 publications · 198 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 46 citations

    2

    h-index

  3. 2

    h-index

  4. South African Journal of Animal Science

    2 publications · 40 citations

    2

    h-index

  5. Journal of Animal Science

    2 publications · 65 citations

    2

    h-index

1–5