Multivariate Variance Components Analysis
Multivariate Variance Components Analysis is a statistical methodology that decomposes the covariance structure of multiple phenotypic traits into additive genetic, environmental, and other random effects components by jointly modeling their variances and covariances across related individuals.
61
Publications
3.6K
Citations
158
Authors
82
Institutions
Publications per year
2017–2026
7
Parents
61
Just Jensen, Esa Mäntysaari, Per Madsen et al. · Jukuri (Natural Resources Institute Finland (Luke)) · 1997 · 212 citations
Comparison of Multivariate Tests for Genetic Linkage
Christopher I. Amos, Mariza de Andrade, Dakai Zhu · Human Heredity · 2001 · 98 citations
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University of Iowa
Iowa City, United States
3 h-index
4 publications
72 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
42 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
273 citations

University of Tehran
Tehran, Iran
2 h-index
6 publications
256 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
9 publications
127 citations

University of Toronto
Toronto, Canada
2 h-index
3 publications
100 citations
The University of Tokyo
Tokyo, Japan
2 h-index
3 publications
100 citations
Iowa State University
Ames, United States
2 h-index
3 publications
41 citations
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6 publications · 159 citations
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4 publications · 1.5K citations
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3 publications · 128 citations
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3 publications · 119 citations
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3 publications · 132 citations
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