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Bayesian Analysis of Multivariate Threshold Animal Models Using Gibbs Sampling  

Lee, Seung-Chun (Department of Statistics, Hanshin University)
Lee, Deukhwan (Department of Animal Science, University of Georgia)
Publication Information
Journal of the Korean Statistical Society / v.31, no.2, 2002 , pp. 177-198 More about this Journal
Abstract
The estimation of variance components or variance ratios in linear model is an important issue in plant or animal breeding fields, and various estimation methods have been devised to estimate variance components or variance ratios. However, many traits of economic importance in those fields are observed as dichotomous or polychotomous outcomes. The usual estimation methods might not be appropriate for these cases. Recently threshold linear model is considered as an important tool to analyze discrete traits specially in animal breeding field. In this note, we consider a hierarchical Bayesian method for the threshold animal model. Gibbs sampler for making full Bayesian inferences about random effects as well as fixed effects is described to analyze jointly discrete traits and continuous traits. Numerical example of the model with two discrete ordered categorical traits, calving ease of calves from born by heifer and calving ease of calf from born by cow, and one normally distributed trait, birth weight, is provided.
Keywords
Threshold animal model; liability; hierarchical Bayes method; Gibbs sampling;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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