This paper introduces a general framework for estimating variance components in the linear mixed models via unbiased equations, which include some well-used estimators such as restricted maximum likelihood estimator. We derive asymptotic covariance matrices and second-order biases under equations without assuming normality of underlying distributions identify class components. It is also shown ...