Trimmed Estimators
Trimmed Estimators is a robust statistical method that belongs to the class of location or scale estimators and is distinguished by the exclusion of a specified proportion of extreme observations from both tails of an ordered sample before computing the estimate.
253
Publications
15.2K
Citations
350
Authors
213
Institutions
Publications per year
2017–2026
15
Parents
253
The two-sample trimmed <i>t</i> for unequal population variances
Karen K. Yuen · Biometrika · 1974 · 501 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 253
350
15
h-index
13
h-index
8
h-index
7
h-index
6
h-index
1–5 of 350
213
University of Southern California
Los Angeles, United States
15 h-index
23 publications
2.3K citations

University of Manitoba
Winnipeg, Canada
10 h-index
19 publications
918 citations
Universidad de Valladolid
Valladolid, Spain
10 h-index
24 publications
1.2K citations

University of Wisconsin–Milwaukee
Milwaukee, United States
8 h-index
8 publications
265 citations
California Southern University
Chandler, United States
7 h-index
10 publications
199 citations

Bulgarian Academy of Sciences
Sofia, Bulgaria
6 h-index
10 publications
557 citations

Australian National University
Canberra, Australia
6 h-index
6 publications
149 citations
Institute of Mathematics
Warsaw, Poland
5 h-index
5 publications
113 citations
1–8 of 213
36 publications · 2.7K citations
25
h-index
14 publications · 1.5K citations
13
h-index
CSDA · 15 publications · 716 citations
13
h-index
8 publications · 318 citations
8
h-index
8 publications · 196 citations
8
h-index
1–5