Mixed Model Equations is a system of linear equations that belongs to the class of statistical estimation methods, specifically distinguished by its joint solution for fixed and random effects in linear mixed models through the use of generalized least squares and Best Linear Unbiased Prediction (BLUP).
145
Publications
9.6K
Citations
278
Authors
134
Institutions
Publications per year
2017–2026
18
Variants
Mme
Parents
Publications
145
The R Package geepack for Generalized Estimating Equations
2006 · 822 citations · Full text
A Mixed-Model Procedure for Analyzing Ordered Categorical Data
David A. Harville, Robert W. Mee · Biometrics · 1984 · 448 citations
1–5 of 145
Authors
278
- IM
9
h-index
- IS
8
h-index
- EM
6
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- LV
6
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- LS
6
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1–5 of 278
Institutions
134
Cornell University
Ithaca, United States
10 h-index
17 publications
1.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
18 publications
971 citations
University of Georgia
Athens, United States
8 h-index
20 publications
1.3K citations
University of New England
Armidale, Australia
8 h-index
15 publications
1.1K citations
University of Guelph
Guelph, Canada
6 h-index
14 publications
1.1K citations
Iowa State University
Ames, United States
6 h-index
16 publications
273 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
14 publications
384 citations
Agrifood Research Finland
Jokioinen, Finland
4 h-index
9 publications
336 citations
1–8 of 134
Venues
- Journal of Animal Science
23 publications · 1.6K citations
17
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- Journal of Dairy Science
JDS · 15 publications · 1.2K citations
14
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- Genetics Selection Evolution
GSE · 13 publications · 427 citations
11
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- Journal of Animal Breeding and Genetics
11 publications · 433 citations
11
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- Biometrics
5 publications · 634 citations
5
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1–5