Trimmed Estimation is a robust statistical method that belongs to the class of location or scale estimators and is distinguished by its exclusion of a specified proportion of extreme observations from both tails of an ordered dataset before computing the estimate, thereby reducing the influence of outliers.
163
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8.9K
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256
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155
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2017–2026
16
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Publications
163
The two-sample trimmed <i>t</i> for unequal population variances
Karen K. Yuen · Biometrika · 1974 · 501 citations · Full text
Symmetrically Trimmed Least Squares Estimation for Tobit Models
James L. Powell · Econometrica · 1986 · 419 citations
1–5 of 163
Authors
256
- HJ
11
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10
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- RK
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- LM
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- DR
4
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1–5 of 256
Institutions
155
University of Southern California
Los Angeles, United States
10 h-index
10 publications
397 citations
University of Manitoba
Winnipeg, Canada
8 h-index
15 publications
889 citations
Universidad de Valladolid
Valladolid, Spain
6 h-index
13 publications
367 citations
University of Kentucky
Lexington, United States
5 h-index
6 publications
237 citations
Polish Academy of Sciences
Warsaw, Poland
4 h-index
6 publications
132 citations
Universidad de Cantabria
Santander, Spain
4 h-index
6 publications
223 citations
Institute of Mathematics
Warsaw, Poland
4 h-index
4 publications
86 citations
Cornell University
Ithaca, United States
4 h-index
4 publications
240 citations
1–8 of 155
Venues
- Journal of the American Statistical Association
19 publications · 1.5K citations
17
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- Computational Statistics & Data Analysis
CSDA · 12 publications · 475 citations
11
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- The Annals of Statistics
9 publications · 1.1K citations
9
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- SSRN Electronic Journal
Repository · 6 publications · 226 citations
6
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- British Journal of Mathematical and Statistical Psychology
4 publications · 195 citations
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