L-moment Estimation

L-Moment Estimation is a statistical method for parameter estimation that belongs to the class of moment-based techniques but is distinguished by its use of linear combinations of order statistics to provide more robust and efficient estimates of distribution parameters, particularly in the context of hydrological frequency analysis.

186

Publications

11.3K

Citations

363

Authors

217

Institutions

Publications per year

2017–2026

36

Variants

L-moments

Authors

363

  1. IA
    Ishfaq Ahmad

    International Islamic University, Islamabad, Pakistan

    7 publications · 148 citations

    7

    h-index

  2. AS
    Ani Shabri

    University of Technology Malaysia, Malaysia

    6 publications · 112 citations

    6

    h-index

  3. JR
    J. R. M. Hosking

    IBM (United States), United States

    6 publications · 4.2K citations

    6

    h-index

  4. TC
    Todd C. Headrick

    Southern Illinois University Carbondale, United States

    5 publications · 79 citations

    5

    h-index

  5. NH
    Nadia Hashim Al-Noor

    Mustansiriyah University, Iraq

    4 publications · 85 citations

    4

    h-index

1–5 of 363

Venues

  1. Water Resources Management

    12 publications · 699 citations

    12

    h-index

  2. Journal of Hydrologic Engineering

    9 publications · 370 citations

    9

    h-index

  3. Water Resources Research

    7 publications · 972 citations

    7

    h-index

  4. 6

    h-index

  5. Hydrological Sciences Journal

    6 publications · 204 citations

    6

    h-index

1–5