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Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach

Detalles Bibliográficos
Autores principales: Strandén, Ismo, Gianola, Daniel
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 1999
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2707447/
http://dx.doi.org/10.1186/1297-9686-31-1-25
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author Strandén, Ismo
Gianola, Daniel
author_facet Strandén, Ismo
Gianola, Daniel
author_sort Strandén, Ismo
collection PubMed
description
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institution National Center for Biotechnology Information
language English
publishDate 1999
publisher BioMed Central
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spelling pubmed-27074472009-07-09 Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach Strandén, Ismo Gianola, Daniel Genet Sel Evol Research BioMed Central 1999-01-15 /pmc/articles/PMC2707447/ http://dx.doi.org/10.1186/1297-9686-31-1-25 Text en Copyright © 1999 Inra/Elsevier, Paris
spellingShingle Research
Strandén, Ismo
Gianola, Daniel
Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
title Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
title_full Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
title_fullStr Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
title_full_unstemmed Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
title_short Mixed effects linear models with t-distributions for quantitative genetic analysis: a Bayesian approach
title_sort mixed effects linear models with t-distributions for quantitative genetic analysis: a bayesian approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2707447/
http://dx.doi.org/10.1186/1297-9686-31-1-25
work_keys_str_mv AT strandenismo mixedeffectslinearmodelswithtdistributionsforquantitativegeneticanalysisabayesianapproach
AT gianoladaniel mixedeffectslinearmodelswithtdistributionsforquantitativegeneticanalysisabayesianapproach