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

Bibliographic Details
Main Authors: Gianola Daniel, Strandén Ismo
Format: Article
Language:deu
Published: BMC 1999-01-01
Series:Genetics Selection Evolution
Online Access:http://www.gsejournal.org/content/31/1/25
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spelling doaj-0527d0748fa54dcc915728f41346a15a2020-11-25T00:37:48ZdeuBMCGenetics Selection Evolution0999-193X1297-96861999-01-01311254210.1186/1297-9686-31-1-25Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approachGianola DanielStrandén Ismohttp://www.gsejournal.org/content/31/1/25
collection DOAJ
language deu
format Article
sources DOAJ
author Gianola Daniel
Strandén Ismo
spellingShingle Gianola Daniel
Strandén Ismo
Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approach
Genetics Selection Evolution
author_facet Gianola Daniel
Strandén Ismo
author_sort Gianola Daniel
title Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approach
title_short Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approach
title_full Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approach
title_fullStr Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approach
title_full_unstemmed Mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a Bayesian approach
title_sort mixed effects linear models with <it>t</it>-distributions for quantitative genetic analysis: a bayesian approach
publisher BMC
series Genetics Selection Evolution
issn 0999-193X
1297-9686
publishDate 1999-01-01
url http://www.gsejournal.org/content/31/1/25
work_keys_str_mv AT gianoladaniel mixedeffectslinearmodelswithittitdistributionsforquantitativegeneticanalysisabayesianapproach
AT strandenismo mixedeffectslinearmodelswithittitdistributionsforquantitativegeneticanalysisabayesianapproach
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