Non-detection Modeling

Non-Detection Modeling is a statistical framework within patch occupancy dynamics that accounts for the probability of failing to detect a species during surveys despite its presence, thereby distinguishing true absence from observational error in occupancy inference.

116

Publications

8.6K

Citations

411

Authors

211

Institutions

Publications per year

2017–2026

47

Authors

411

  1. JD
    James D. Nichols

    United States Geological Survey, United States

    5 publications · 1.4K citations

    5

    h-index

  2. GG
    Gurutzeta Guillera‐Arroita

    The University of Melbourne, Australia

    5 publications · 873 citations

    5

    h-index

  3. JA
    J. Andrew Royle

    United States Geological Survey, United States

    5 publications · 756 citations

    5

    h-index

  4. MK
    Marc Kéry

    Swiss Ornithological Institute, Switzerland

    5 publications · 1K citations

    5

    h-index

  5. LL
    Larissa L. Bailey

    Colorado State University, United States

    4 publications · 1.1K citations

    4

    h-index

1–5 of 411

Venues

  1. Methods in Ecology and Evolution

    11 publications · 685 citations

    11

    h-index

  2. PLoS ONE

    10 publications · 512 citations

    10

    h-index

  3. Ecology and Evolution

    6 publications · 183 citations

    6

    h-index

  4. Ecology

    5 publications · 943 citations

    5

    h-index

  5. Diversity and Distributions

    5 publications · 462 citations

    5

    h-index

1–5