Homoscedastic Error Models
Homoscedastic Error Models is a statistical modeling framework characterized by the assumption that the variance of the residual unexplained variability remains constant across all levels of the independent variables, distinguishing it from heteroscedastic models where error variance changes systematically with the predictors.
116
Publications
16.7K
Citations
242
Authors
153
Institutions
Publications per year
2017–2026
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Netherlands Organisation for Applied Scientific Research, Netherlands
2 publications · 178 citations
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1–5 of 242
153
Princeton University
Princeton, United States
3 h-index
5 publications
1.6K citations

Australian National University
Canberra, Australia
3 h-index
5 publications
9.5K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
50 citations
Texas A&M University
College Station, United States
3 h-index
4 publications
99 citations
Pontificia Universidad Católica de Chile
Santiago, Chile
3 h-index
5 publications
102 citations
The Ohio State University
Columbus, United States
3 h-index
4 publications
1.4K citations

Cornell University
Ithaca, United States
3 h-index
7 publications
378 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
4 publications
1.5K citations
1–8 of 153
6 publications · 969 citations
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4 publications · 4.8K citations
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4 publications · 1.9K citations
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3 publications · 290 citations
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JSCS · 3 publications · 41 citations
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