Recruitment Model Fitting

Recruitment Model Fitting is a methodological process within population dynamics modeling that involves calibrating a structured mathematical representation of recruitment to observed data by optimizing parameter estimates to minimize prediction error.

40

Publications

1.7K

Citations

145

Authors

108

Institutions

Publications per year

2017–2026

7

Authors

145

  1. VV
    Vladimir V. Anisimov

    GlaxoSmithKline (United Kingdom), United Kingdom

    2 publications · 142 citations

    2

    h-index

  2. JT
    James T. Thorson

    NOAA National Marine Fisheries Service, United States

    2 publications · 36 citations

    2

    h-index

  3. LW
    Louis W. Botsford

    University of California, Davis, United States

    2 publications · 82 citations

    2

    h-index

  4. WC
    William C. Warger

    Northeastern University, United States

    1 publications · 13 citations

    1

    h-index

  5. MF
    Mathieu Fortin

    AgroParisTech, France

    1 publications · 11 citations

    1

    h-index

1–5 of 145

Venues

  1. Fisheries Research

    4 publications · 69 citations

    4

    h-index

  2. 3

    h-index

  3. ICES Journal of Marine Science

    2 publications · 31 citations

    2

    h-index

  4. Bulletin of Mathematical Biology

    2 publications · 82 citations

    2

    h-index

  5. Statistics in Medicine

    2 publications · 142 citations

    2

    h-index

1–5