A Thurstonian model for quantitative genetic analysis of ranks: a Bayesian approach.

Abstract excerpt

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....

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bayes Theorem
• Share to Environment
• Share to Genotype