Trimmed Means

Trimmed Means is a robust measure of central tendency that belongs to the class of location estimators, distinguished by its calculation as the arithmetic mean of a dataset after removing a specified proportion of the smallest and largest order statistics to reduce the influence of outliers.

192

Publications

12.2K

Citations

311

Authors

184

Institutions

Publications per year

2017–2026

16

Variants

Trimmed Mean

Authors

311

  1. RR
    Rand R. Wilcox

    University of Southern California, United States

    24 publications · 877 citations

    16

    h-index

  2. HJ
    H. J. Keselman

    University of Manitoba, Canada

    20 publications · 813 citations

    15

    h-index

  3. RK
    Rhonda K. Kowalchuk

    University of Manitoba, Canada

    7 publications · 273 citations

    7

    h-index

  4. AG
    Alfonso Gordaliza

    Universidad de Valladolid, Spain

    6 publications · 664 citations

    6

    h-index

  5. LM
    Lisa M. Lix

    University of Manitoba, Canada

    6 publications · 384 citations

    6

    h-index

1–5 of 311

Venues

  1. Journal of the American Statistical Association

    24 publications · 2.5K citations

    19

    h-index

  2. The Annals of Statistics

    11 publications · 1.5K citations

    10

    h-index

  3. 9

    h-index

  4. SSRN Electronic Journal

    Repository · 5 publications · 201 citations

    5

    h-index

  5. 5

    h-index

1–5