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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Mixed effects linear models with t-distributions for quantitative | Genet. Sei. Evol. 31 1999 25-42 Inra Elsevier Paris 25 Original article Mixed effects linear models with t-distributions for quantitative genetic analysis a Bayesian approach Ismo Strandéna b Daniel Gianolaa a Department of Animal Sciences University of Wisconsin Madison WI 53706 USA b Animal Production Research Agricultural Research Centre - MTT 31600 Jokioinen Finland Received 21 July 1998 accepted 27 November 1998 Abstract - A Bayesian approach for inferences about parameters of mixed effects linear models with t-distributions is presented with emphasis on quantitative genetic applications. The implementation is via the Gibbs sampler. Data from a simulated multiple ovulation and embryo transfer scheme in dairy cattle breeding with nonrandom preferential treatment of some cows is used to illustrate the procedures. Extensions of the model are discussed. Inra Elsevier Paris mixed effects models Bayesian inference robust estimation Gibbs sampling I Student s t-distribution Resume Modèles linéaires mixtes avec distributions de student en génétique quantitative approche bayésienne. On présente une approche bayésienne en vue de I inference concernant les paramètres de modèles linéaires mixtes avec des distributions de Student en mettant 1 accent sur les applications en génétique quantitative. L application s effectue grace à 1 échantillonnage de Gibbs. Des données provenant d un schema de selection simulé utilisant le transfert embryonnaire chez les bovins laitiers en presence d un traitement preferentiel de quelques vaches sont utilisées pour illustrer les procedures. Les extensions du modèle sont discutées. Inra Elsevier Paris modèle mixte I inference bayésienne estimation robuste échantillonnage de Gibbs distribution t de student Correspondence and reprints E-mail ismo.stranden@mtt.fi 26 I. Strandén D. Gianola 1. INTRODUCTION Mixed effects linear models are used widely in animal and plant breeding and in evolutionary genetics 27 . Their application to animal .
