Estimation of the Interclass Correlation Coefficient
提出一种非迭代的加权平方和方法来估计组间相关系数，推导了其渐近方差，并通过蒙特卡洛模拟发现其样本方差与最大似然估计相差不大。
A noniterative method for estimating the interclass correlation coefficient is derived from the technique of weighted sums of squares. The asymptotic variance of this estimator is derived under the assumption of normality. Through extensive Monte Carlo simulations, the sample variance of this estimator is found not to differ greatly from that of the maximum likelihood estimator.