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Mixture model for inferring susceptibility to mastitis in dairy cattle: a procedure for likelihood-based inference
A Gaussian mixture model with a finite number of components and correlated random effects is described. The ultimate objective is to model somatic cell count information in dairy cattle and to develop criteria for genetic selection against mastitis, an important udder disease. Parameter estimation i...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2004
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2697178/ https://ncbi.nlm.nih.gov/pubmed/14713407 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1297-9686-36-1-3 |
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