Restricted Maximum Likelihood Estimation
Restricted Maximum Likelihood Estimation is a statistical estimation method that belongs to the class of likelihood-based inference techniques, distinguished by its approach of maximizing the likelihood of a transformed subset of the data to produce unbiased estimates of variance components in multilevel and meta-analytic models.
459
Publications
51.5K
Citations
1.4K
Authors
458
Institutions
Publications per year
2017–2026
42
Variants
Reml
459
Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
Michael G. Kenward, James Roger · Biometrics · 1997 · 4.5K citations
1–5 of 459
1.4K
19
h-index
9
h-index
9
h-index
7
h-index
7
h-index
1–5 of 1.4K
458

University of New England
Armidale, Australia
15 h-index
30 publications
4.9K citations
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
12 h-index
29 publications
668 citations

University of Edinburgh
Edinburgh, United Kingdom
11 h-index
18 publications
2.4K citations
University of Nebraska–Lincoln
Lincoln, United States
9 h-index
23 publications
772 citations
University of California, Los Angeles
Los Angeles, United States
9 h-index
17 publications
3.8K citations

University of Georgia
Athens, United States
8 h-index
22 publications
647 citations
University of Michigan
Ann Arbor, United States
7 h-index
15 publications
2.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
14 publications
850 citations
1–8 of 458
25 publications · 4.7K citations
18
h-index
19 publications · 907 citations
16
h-index
20 publications · 1.1K citations
15
h-index
15 publications · 8K citations
15
h-index
JDS · 15 publications · 1.2K citations
13
h-index
1–5