Variance Component Estimation
Variance Component Estimation is a statistical method that belongs to the class of parameter estimation techniques, specifically designed to quantify the contributions of distinct random effects to the overall variability in a hierarchical or mixed-effects model.
682
Publications
110K
Citations
1.4K
Authors
625
Institutions
Publications per year
2017–2026
65
Variants
Variance Components Estimation
Parents
682
1–5 of 682
1.4K
15
h-index
11
h-index
10
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9
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9
h-index
1–5 of 1.4K
625

Cornell University
Ithaca, United States
17 h-index
29 publications
1.9K citations

Delft University of Technology
Delft, The Netherlands
12 h-index
19 publications
2.3K citations

University of Edinburgh
Edinburgh, United Kingdom
11 h-index
22 publications
1.3K citations
University of Wisconsin–Madison
Madison, United States
11 h-index
34 publications
1.9K citations
University of Michigan
Ann Arbor, United States
11 h-index
21 publications
1.4K citations
University of Isfahan
Isfahan, Iran
11 h-index
15 publications
1.1K citations
University of California, Los Angeles
Los Angeles, United States
10 h-index
23 publications
1K citations
Colorado State University
Fort Collins, United States
9 h-index
13 publications
360 citations
1–8 of 625
47 publications · 6.9K citations
30
h-index
41 publications · 5.6K citations
26
h-index
29 publications · 1.7K citations
19
h-index
21 publications · 1.5K citations
19
h-index
JDS · 18 publications · 1.5K citations
16
h-index
1–5