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A Thurstonian Model for Quantitative Genetic Analysis of Ranks: A Bayesian Approach

A fully Bayesian method for quantitative genetic analysis of data consisting of ranks of, e.g., genotypes, scored at a series of events or experiments is presented. The model postulates a latent structure, with an underlying variable realized for each genotype or individual involved in the event. Th...

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Detalhes bibliográficos
Main Authors: Gianola, Daniel, Simianer, Henner
Formato: Artigo
Idioma:Inglês
Publicado em: Copyright © 2006 by the Genetics Society of America 2006
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1667069/
https://ncbi.nlm.nih.gov/pubmed/16980397
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.106.060673
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