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Perils of Parsimony: Properties of Reduced-Rank Estimates of Genetic Covariance Matrices
Eigenvalues and eigenvectors of covariance matrices are important statistics for multivariate problems in many applications, including quantitative genetics. Estimates of these quantities are subject to different types of bias. This article reviews and extends the existing theory on these biases, co...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Genetics Society of America
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2567364/ https://ncbi.nlm.nih.gov/pubmed/18757923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.108.090159 |
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