采用EWMA模型预测动态变化的方差-协方差矩阵，从实证的角度得到更精准的动态迁移相关系数矩阵。
Using EWMA to forecast the portfolio's dynamic transferred variance-covariance matrix, we can get more reasonable and precise dynamic transferred coefficient matrix.
带有层套关系因子变量的协方差分析模型在实际应用中有广泛的适应性。
The covariate analysis model with some nested factors is widely used in practical problem.
分析当多元随机变量协方差阵正定时，各随机分量应满足的关系，并结合多项分布研究离散型与连续型样本协方差阵的不同。
And studying the difference of positive defined matrix of discrete and continuous sample by using of mal-distribution and the relationship among weights.
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