Linear Models
Linear Models is a statistical modeling framework that describes a response variable as a linear combination of predictor variables, distinguished by its assumption of additive linearity in parameters and error structure.
7.9K
Publications
824.2K
Citations
22.1K
Authors
5.2K
Institutions
Publications per year
2017–2026
2K
Variants
Linear Statistical Models
Parents
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1–5 of 7.9K
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Harvard University
Cambridge, United States
46 h-index
252 publications
60.2K citations
Stanford University
Stanford, United States
45 h-index
168 publications
18.3K citations
University of Wisconsin–Madison
Madison, United States
43 h-index
170 publications
13.4K citations
University of Michigan
Ann Arbor, United States
41 h-index
162 publications
9.4K citations
University of Chicago
Chicago, United States
40 h-index
94 publications
15.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
40 h-index
184 publications
14.8K citations

University of Toronto
Toronto, Canada
37 h-index
154 publications
64.4K citations
University of Washington
Seattle, United States
36 h-index
187 publications
22.1K citations
1–8 of 5.2K
225 publications · 63.6K citations
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110 publications · 53.7K citations
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88 publications · 11.8K citations
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84 publications · 9.3K citations
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91 publications · 20.7K citations
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