New method improves accuracy of estimating variance components in statistical models
The article presents a method to estimate variance components in a specific statistical model. The researchers developed Bayes estimators and empirical Bayes estimators using a nonparametric approach. They showed that the empirical Bayes estimators converge to the true values under certain conditions. An example illustrating the main result is also provided.