Error Variance Estimation
Error Variance Estimation is a statistical method used in estimation validation and forecast error analysis that quantifies the variability of prediction errors around their mean to assess the precision of estimators or forecasting models.
1.3K
Publications
101.2K
Citations
2.7K
Authors
1.1K
Institutions
Publications per year
2017–2026
159
1.3K
G. Matheron · Economic Geology · 1963 · 4.8K citations
Regression standard errors in clustered samples
William H. Rogers · Stata technical bulletin · 1993 · 2.8K citations
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Texas A&M University
College Station, United States
15 h-index
31 publications
1.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
14 h-index
19 publications
3.4K citations
University of California, Berkeley
Berkeley, United States
14 h-index
27 publications
4.3K citations
North Carolina State University
Raleigh, United States
13 h-index
20 publications
2.2K citations
University of Southern California
Los Angeles, United States
13 h-index
24 publications
1.9K citations
University of Iowa
Iowa City, United States
12 h-index
20 publications
1.2K citations

KTH Royal Institute of Technology
Stockholm, Sweden
12 h-index
18 publications
889 citations

University of Minnesota
Minneapolis, United States
11 h-index
17 publications
3.7K citations
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66 publications · 7.4K citations
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26 publications · 1.8K citations
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28 publications · 3.2K citations
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23 publications · 983 citations
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16 publications · 1.9K citations
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