Errors-in-variables Regression
Errors-In-Variables Regression is a regression method that accounts for measurement errors in both dependent and independent variables, distinguishing itself from ordinary regression models by explicitly modeling inaccuracies in predictor variables.
515
Publications
39.5K
Citations
807
Authors
460
Institutions
Publications per year
2017–2026
58
Variants
Errors-in-variables Model
Parents
515
Leonard A. Stefanski, Wayne A. Fuller, John Wiley · Journal of Business and Economic Statistics · 1988 · 2.9K citations
Self-Reported and Measured Sleep Duration
Diane S. Lauderdale, Kristen L. Knutson, Lijing L. Yan et al. · Epidemiology · 2008 · 1.6K citations · Full text
SHCal20 Southern Hemisphere Calibration, 0–55,000 Years cal BP
Alan Hogg, Timothy Heaton, Quan Hua et al. · Radiocarbon · 2020 · 1.4K citations · Full text
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Institute of Statistical Science, Academia Sinica, Taiwan
7 publications · 578 citations
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Uppsala University
Uppsala, Sweden
15 h-index
30 publications
993 citations
Texas A&M University
College Station, United States
10 h-index
15 publications
1.3K citations
Iowa State University
Ames, United States
9 h-index
11 publications
633 citations
Tongji University
Shanghai, China
9 h-index
18 publications
296 citations
Wuhan University
Wuhan, China
9 h-index
18 publications
935 citations
University of Chicago
Chicago, United States
8 h-index
11 publications
3.5K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
15 publications
369 citations

University of Bologna
Bologna, Italy
8 h-index
12 publications
433 citations
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40 publications · 3.6K citations
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21 publications · 912 citations
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20 publications · 2.7K citations
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13 publications · 1.9K citations
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12 publications · 531 citations
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