Regression-based Weight Estimation

Regression-Based Weight Estimation is a methodological approach within ship weight estimation that employs statistical regression models to predict the weight of a vessel by establishing quantitative relationships between known design parameters and historical weight data.

53

Publications

3.4K

Citations

133

Authors

64

Institutions

Publications per year

2017–2026

9

Authors

133

  1. JJ
    JEFF JOHNSON

    Public Radio International, United States

    2 publications · 1.4K citations

    2

    h-index

  2. RA
    Richard Anderson‐Sprecher

    University of Wyoming, United States

    2 publications · 92 citations

    2

    h-index

  3. KG
    Ken Gerow

    University of Wyoming, United States

    2 publications · 92 citations

    2

    h-index

  4. WA
    Wayne A. Hubert

    University of Wyoming, United States

    2 publications · 92 citations

    2

    h-index

  5. SC
    Snehashish Chakraverty

    National Institute of Technology Rourkela, India

    2 publications · 72 citations

    2

    h-index

1–5 of 133

Venues

  1. Organizational Behavior and Human Performance

    3 publications · 98 citations

    3

    h-index

  2. North American Journal of Fisheries Management

    3 publications · 116 citations

    3

    h-index

  3. Journal of Applied Animal Research

    JAAR · 2 publications · 95 citations

    2

    h-index

  4. Technometrics

    2 publications · 40 citations

    2

    h-index

  5. 2

    h-index

1–5