Robust Regression
Robust Regression is a regression method that minimizes the influence of outliers and violations of classical assumptions by employing estimation techniques more resistant to deviations from normality, heteroscedasticity, and data contamination compared to ordinary least squares regression.
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183.4K
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1.8K
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Publications per year
2017–2026
543
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1.9K
Technometrics · 2005 · 18.1K citations
Business, Biostatistics, Mathematics +17
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
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KU Leuven
Leuven, Belgium
22 h-index
50 publications
2.9K citations

University of British Columbia
Vancouver, Canada
18 h-index
48 publications
2.2K citations
University of Southern California
Los Angeles, United States
17 h-index
45 publications
3K citations
Universidad de Buenos Aires
Buenos Aires, Argentina
16 h-index
42 publications
2.1K citations

Poznań University of Technology
Poznan, Poland
15 h-index
25 publications
2K citations
Nanjing University of Science and Technology
Nanjing, China
14 h-index
46 publications
2.2K citations
Stanford University
Stanford, United States
14 h-index
38 publications
5.6K citations
Systems Research Institute
Warsaw, Poland
14 h-index
14 publications
1.2K citations
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81 publications · 41.5K citations
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49 publications · 14.5K citations
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39 publications · 7.6K citations
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CSDA · 36 publications · 1.1K citations
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32 publications · 3K citations
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