Delta-lognormal Models

Delta-Lognormal Models is a statistical modeling framework within catch-per-unit-effort analysis that combines a delta distribution for handling zero-catch observations with a lognormal distribution for positive continuous catch values, thereby accounting for the mixed discrete-continuous nature of fisheries data.

68

Publications

3.6K

Citations

132

Authors

69

Institutions

Publications per year

2017–2026

14

Authors

132

  1. RP
    Réjean Plamondon

    Polytechnique Montréal, Canada

    14 publications · 935 citations

    12

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  2. SN
    Sa‐Aat Niwitpong

    King Mongkut's University of Technology North Bangkok, Thailand

    9 publications · 225 citations

    9

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  3. SN
    Suparat Niwitpong

    King Mongkut's University of Technology North Bangkok, Thailand

    6 publications · 163 citations

    6

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  4. PM
    Patcharee Maneerat

    King Mongkut's University of Technology North Bangkok, Thailand

    6 publications · 148 citations

    6

    h-index

  5. WG
    Wacef Guerfali

    Polytechnique Montréal, Canada

    4 publications · 194 citations

    4

    h-index

1–5 of 132

Venues

  1. PeerJ

    5 publications · 149 citations

    5

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  2. Aquatic Living Resources

    3 publications · 126 citations

    3

    h-index

  3. 2

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  4. Journal of Informetrics

    2 publications · 74 citations

    2

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  5. Human Movement Science

    2 publications · 66 citations

    2

    h-index

1–5