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Journal of the Korean Statistical Society v.31 no.2, 2002년, pp.177 - 198   피인용횟수: 3

Bayesian Analysis of Multivariate Threshold Animal Models Using Gibbs Sampling

Lee, Seung-Chun   (Department of Statistics, Hanshin UniversityUU0001517  ); Lee, Deukhwan   (Department of Animal Science, University of GeorgiaUU0015183  );
  • 초록

    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.


  • 주제어

    Threshold animal model .   liability .   hierarchical Bayes method .   Gibbs sampling.  

  • 참고문헌 (23)

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    17. Studies to Implement Genetic Evaluation for Calving Difficulty in Beef Cattle , Ramirez-Valverde, R. , Ph.D. thesis, University of Georgia / v.,pp.,
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    23. On biased inferences about variance components in the binary threshold model , Moreno, C.;Sorensen, D.;Garcia-Cortes, L. A.;Varona, L.;Altarriba, J. , Genetics Selection Evolution / v.29,pp.145-160,
  • 이 논문을 인용한 문헌 (3)

    1. 2003. "" 한국통계학회 논문집 = Communications of the Korean Statistical Society, 10(1): 19~30     
    2. 2011. "" 응용통계연구 = The Korean journal of applied statistics, 24(6): 1095~1102     
    3. Lee, Seung-Chun ; Choi, Byung Su 2013. "Bayesian Interval Estimation of Tobit Regression Model" 응용통계연구 = The Korean journal of applied statistics, 26(5): 737~746     

 저자의 다른 논문

  • Lee, Seung-Chun (17)

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    4. 2004 "A Naive Multiple Imputation Method for Ignorable Nonresponse" 한국통계학회 논문집 = Communications of the Korean Statistical Society 11 (2): 399~411    
    5. 2007 "AN IMPROVED CONFIDENCE INTERVAL FOR THE POPULATION PROPORTION IN A DOUBLE SAMPLING SCHEME SUBJECT TO FALSE-POSITIVE MISCLASSIFICATION" Journal of the Korean Statistical Society 36 (2): 275~284    
    6. 2009 "Confidence Intervals for a Proportion in Finite Population Sampling" 한국통계학회 논문집 = Communications of the Korean Statistical Society 16 (3): 501~509    
    7. 2010 "Confidence Intervals for the Difference of Binomial Proportions in Two Doubly Sampled Data" 한국통계학회 논문집 = Communications of the Korean Statistical Society 17 (3): 309~318    
    8. 2010 "Likelihood Based Confidence Intervals for the Difference of Proportions in Two Doubly Sampled Data with a Common False-Positive Error Rate" 한국통계학회 논문집 = Communications of the Korean Statistical Society 17 (5): 679~688    
    9. 2011 "Bayesian Estimation in Bioequivalence Study" 응용통계연구 = The Korean journal of applied statistics 24 (6): 1095~1102    
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