Mean Log Deviation

Mean Log Deviation is a distributional inequality measure that belongs to the class of generalized entropy indices, distinguished by its sensitivity to relative income disparities through the use of logarithmic deviations from the mean income.

93

Publications

6.5K

Citations

384

Authors

171

Institutions

Publications per year

2017–2026

11

Variants

Mld

Authors

384

  1. PD
    Peter D. Wagner

    University of California San Diego, United States

    2 publications · 596 citations

    2

    h-index

  2. DY
    Dong Youp Kwak

    Hanyang University, South Korea

    2 publications · 71 citations

    2

    h-index

  3. AG
    Amos Golan

    American University, United States

    2 publications · 37 citations

    2

    h-index

  4. JM
    Jeffrey M. Perloff

    University of California, Berkeley, United States

    2 publications · 37 citations

    2

    h-index

  5. CG
    C.O. Gill

    Agriculture and Agri-Food Canada, Canada

    2 publications · 26 citations

    2

    h-index

1–5 of 384

Venues

  1. PubMed

    Repository · 5 publications · 123 citations

    5

    h-index

  2. The Journal of Clinical Endocrinology & Metabolism

    JCEM · 3 publications · 1.4K citations

    3

    h-index

  3. Journal of Hydrology

    2 publications · 34 citations

    2

    h-index

  4. Journal of Clinical Microbiology

    JCM · 2 publications · 72 citations

    2

    h-index

  5. Journal of Statistical Computation and Simulation

    JSCS · 1 publications · 14 citations

    1

    h-index

1–5