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
Parents
192
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin, Yudong Chen, Kannan Ramchandran et al. · arXiv (Cornell University) · 2018 · 545 citations · Full text
The median split: Robust, refined, and revived
Dawn Iacobucci, Steven S. Posavac, Frank R. Kardes et al. · Journal of Consumer Psychology · 2015 · 461 citations
1–5 of 192
311
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184
University of Southern California
Los Angeles, United States
16 h-index
29 publications
928 citations

University of Manitoba
Winnipeg, Canada
14 h-index
25 publications
1.2K citations
California Southern University
Chandler, United States
8 h-index
14 publications
281 citations
University of Florida
Gainesville, United States
6 h-index
9 publications
234 citations
Universidad de Valladolid
Valladolid, Spain
5 h-index
12 publications
1.5K citations

Indian Statistical Institute
Kolkata, India
3 h-index
3 publications
489 citations

Vanderbilt University
Nashville, United States
3 h-index
6 publications
1.9K citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
601 citations
1–8 of 184
24 publications · 2.5K citations
19
h-index
11 publications · 1.5K citations
10
h-index
9 publications · 404 citations
9
h-index
Repository · 5 publications · 201 citations
5
h-index
5 publications · 104 citations
5
h-index
1–5