Process Error

Process Error is a type of uncertainty in fisheries stock assessment models that arises from natural variability in population dynamics processes, distinguishing it from observation error by representing stochastic deviations in the true system state rather than in the measurement of that state.

121

Publications

6.8K

Citations

328

Authors

158

Institutions

Publications per year

2017–2026

30

Authors

328

  1. AE
    André E. Punt

    University of Washington, United States

    7 publications · 419 citations

    7

    h-index

  2. PD
    Perry de Valpine

    University of California, Berkeley, United States

    4 publications · 647 citations

    4

    h-index

  3. JT
    Jon T. Schnute

    Fisheries and Oceans Canada, Canada

    4 publications · 384 citations

    4

    h-index

  4. RH
    Ray Hilborn

    University of Washington, United States

    3 publications · 103 citations

    3

    h-index

  5. EE
    Elizabeth E. Holmes

    NOAA National Marine Fisheries Service Northwest Fisheries Science Center, United States

    3 publications · 264 citations

    3

    h-index

1–5 of 328

Venues

  1. 13

    h-index

  2. ICES Journal of Marine Science

    7 publications · 375 citations

    7

    h-index

  3. Fisheries Research

    4 publications · 83 citations

    5

    h-index

  4. Ecology

    5 publications · 683 citations

    5

    h-index

  5. Ecological Applications

    4 publications · 249 citations

    4

    h-index

1–5