摘要
采用ＭｏｎｔｅＣａｒｌｏ模拟方法，研究了家系数目，家系大小，性状遗传力大小等３个因素在不同组合下，ＭＬ法和ＲＥＭＬ法方差组分估计的准确性。结果表明，在不考虑除均值之外其它固定效应的情况下，ＭＬ法的效率高于ＲＥＭＬ法。
The effect of ML and REML methods for variance components estimation were studied by using Monte Carlo simulation.The results showed that ML was move effective than under the conditions of not considering the other fixed effects except the mean.
出处
《黄牛杂志》
1998年第3期9-12,共4页
Journal of Yellow Cattle Science
关键词
ML法
REML法
方差组分估计
最大似然法
Maximum Likelihood Method,Restricted Maximum Likelihood Method,Variance Components Estimation
