Go to Top Go to Bottom
Review Paper
Asian-Australasian Journal of Animal Sciences 2000;13(3): 413-422.
DOI: https://doi.org/10.5713/ajas.2000.413    Published online March 1, 2000.
Methods and Techniques for Variance Component Estimation in Animal Breeding - Review -
C. Lee
In the class of models which include random effects, the variance component estimates are important to obtain accurate predictors and estimators. Variance component estimation is straightforward for balanced data but not for unbalanced data. Since orthogonality among factors is absent in unbalanced data, various methods for variance component estimation are available. REML estimation is the most widely used method in animal breeding because of its attractive statistical properties. Recently, Bayesian approach became feasible through Markov Chain Monte Carlo methods with increasingly powerful computers. Furthermore, advances in variance component estimation with complicated models such as generalized linear mixed models enabled animal breeders to analyze non-normal data.
Keywords: Generalized Linear Mixed Model; Gibbs Sampling; Likelihood; Markov Chain Monte Carlo; Posterior; REML

Editorial Office
Asian-Australasian Association of Animal Production Societies(AAAP)
Room 708 Sammo Sporex, 23, Sillim-ro 59-gil, Gwanak-gu, Seoul 08776, Korea   
TEL : +82-2-888-6558    FAX : +82-2-888-6559   
E-mail : animbiosci@gmail.com               

Copyright © 2021 by Animal Bioscience. All rights reserved.

Developed in M2PI

Close layer
prev next