The Bayes estimators of variance components are derived under
weighted square loss function for the balanced one-way classification random effects
model with the assumption that variance component has the conjugate prior distribution.
The superiorities of the Bayes estimators for variance components to traditional ANOVA
estimators are studied in terms of the mean square error (MSE) criterion. Finally, a
remark for main results is given.