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Animal Breeding and Genetics
Asian-Australasian Journal of Animal Sciences 2002;15(7): 925-931.
DOI: https://doi.org/10.5713/ajas.2002.925    Published online January 1, 2002.
Investigation of Biases for Variance Components on Multiple Traits with Varying Number of Categories in Threshold Models Using Bayesian Inferences
D. H. Lee
Abstract
Gibbs sampling algorithms were implemented to the multi-trait threshold animal models with any combinations of multiple binary, ordered categorical, and linear traits and investigate the amount of bias on these models with two kinds of parameterization and algorithms for generating underlying liabilities. Statistical models which included additive genetic and residual effects as random and contemporary group effects as fixed were considered on the models using simulated data. The fully conditional posterior means of heritabilities and genetic (residual) correlations were calculated from 1,000 samples retained every 10th samples after 15,000 samples discarded as
Keywords: Categorical Traits; Bayesian; Variance Components; Biases


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