Robust Location Estimation
Robust Location Estimation is a statistical method that belongs to the class of location estimation techniques, distinguished by its ability to provide consistent and reliable estimates of central tendency under deviations from standard distributional assumptions, particularly in the presence of outliers or heavy-tailed noise.
360
Publications
32.2K
Citations
679
Authors
345
Institutions
Publications per year
2017–2026
48
Parents
360
Robust Estimation of a Location Parameter
Peter J. Huber · The Annals of Mathematical Statistics · 1964 · 7K citations · Full text
Estimates of Location Based on Rank Tests
J. L. Hodges, E. L. Lehmann · The Annals of Mathematical Statistics · 1963 · 1.2K citations · Full text
Robust $M$-Estimators of Multivariate Location and Scatter
Ricardo A. Maronna · The Annals of Statistics · 1976 · 947 citations · Full text
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345
University of California, Davis
Davis, United States
9 h-index
16 publications
922 citations
KU Leuven
Leuven, Belgium
8 h-index
10 publications
560 citations

Johns Hopkins University
Baltimore, United States
6 h-index
6 publications
369 citations
Dalian University of Technology
Dalian, China
5 h-index
23 publications
1.7K citations
New York University
New York, United States
5 h-index
8 publications
263 citations
National Institute of Standards and Technology
Gaithersburg, United States
5 h-index
8 publications
508 citations
Universidad de Buenos Aires
Buenos Aires, Argentina
5 h-index
7 publications
316 citations

Ghent University
Ghent, Belgium
5 h-index
8 publications
285 citations
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43 publications · 6.3K citations
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35 publications · 3.3K citations
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12 publications · 1.1K citations
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10 publications · 8.8K citations
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10 publications · 506 citations
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