Robust Statistics is a branch of statistics that develops methods resistant to departures from idealized model assumptions, particularly those arising from outliers or minor distributional deviations.
6.5K
Publications
585.8K
Citations
8.8K
Authors
2.6K
Institutions
Publications per year
2017–2026
1.2K
Publications
6.5K
Robust Estimation of a Location Parameter
Peter J. Huber · The Annals of Mathematical Statistics · 1964 · 7K citations · Full text
Robust Regression and Outlier Detection
Gregory F. Piepel, Peter J. Rousseeuw, Annick M. Leroy · Technometrics · 1989 · 6.2K citations
Introduction to Linear Regression Analysis.
Renato Assunção, Paul D. Sampson, Douglas C. Montgomery et al. · Journal of the American Statistical Association · 1993 · 5.4K citations
1–5 of 6.5K
Authors
8.8K
- PJ
35
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- VJ
27
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- RR
26
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- CC
26
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- ER
25
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1–5 of 8.8K
Institutions
2.6K
Princeton University
Princeton, United States
49 h-index
135 publications
16.6K citations
Stanford University
Stanford, United States
38 h-index
105 publications
21.7K citations
KU Leuven
Leuven, Belgium
37 h-index
145 publications
11.6K citations
University of Southern California
Los Angeles, United States
37 h-index
134 publications
9.6K citations
University of California, Berkeley
Berkeley, United States
35 h-index
104 publications
7.3K citations
University of British Columbia
Vancouver, Canada
35 h-index
104 publications
14K citations
University of Minnesota
Minneapolis, United States
34 h-index
94 publications
15.6K citations
University of Wisconsin–Madison
Madison, United States
33 h-index
66 publications
11.4K citations
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Venues
- Journal of the American Statistical Association
400 publications · 92.2K citations
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- The Annals of Statistics
293 publications · 32.4K citations
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- Technometrics
154 publications · 29.9K citations
61
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- Biometrika
144 publications · 13.8K citations
53
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- Journal of Econometrics
109 publications · 13.7K citations
52
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