Robust Nonlinear Regression
Robust Nonlinear Regression is a statistical modeling method that belongs to the class of nonlinear regression techniques and is specifically designed to provide reliable parameter estimates and inference in the presence of outliers or deviations from distributional assumptions by minimizing the influence of such anomalies on the fitted model.
135
Publications
8.9K
Citations
409
Authors
262
Institutions
Publications per year
2017–2026
40
Parents
135
Generalized Correntropy for RobustAdaptive Filtering
Badong Chen, Lei Xing, Haiquan Zhao et al. · IEEE Transactions on Signal Processing · 2016 · 739 citations · Full text
Partial Residual Plots Based on Robust Fits
Joseph W. McKean, Simon J. Sheather · Technometrics · 2000 · 320 citations
1–5 of 135
409
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Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Brazil
2 publications · 42 citations
2
h-index
Max Planck Institute for Human Cognitive and Brain Sciences, Germany
2 publications · 178 citations
2
h-index
2
h-index
2
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1–5 of 409
262

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
178 citations

The University of Adelaide
Adelaide, Australia
3 h-index
4 publications
174 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
377 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
5 publications
536 citations
Centre d'Économie de la Sorbonne
Paris, France
2 h-index
4 publications
420 citations

Scuola Superiore Sant'Anna
Pisa, Italy
2 h-index
2 publications
210 citations
Chung Yuan Christian University
Taoyuan City, Taiwan
2 h-index
2 publications
54 citations
Western Michigan University
Kalamazoo, United States
2 h-index
2 publications
330 citations
1–8 of 262
3 publications · 361 citations
3
h-index
3 publications · 75 citations
3
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3 publications · 778 citations
3
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PNAS · 2 publications · 731 citations
2
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SEM · 2 publications · 49 citations
2
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