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Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML
Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure. Linear combinations of those coefficients define variance components for the additive genetic variance a...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2004
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697206/ https://www.ncbi.nlm.nih.gov/pubmed/15107271 http://dx.doi.org/10.1186/1297-9686-36-3-363 |