方差-协方差分量估计公式等价性的进一步证明。
Further Broof on the Equivalence of the Formulas of Variance-covariance Component Estimation.
通过附有条件的间接平差模型进一步证明各类方差-协方差分量估计公式之间的等价性。
In this paper, through the model of parameter adjustment with constraints among the parameters, a further proof on the equivalence of the formulas of variance-covariance components is gives.
将线性混合模型中随机效应的协方差阵推广为正定阵，运用方差分析估计的方法给出了方差分量的估计。
In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.
线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
方差分量模型的随机效应的协方差为单位阵时《线性模型引论》已进行研究。
Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.
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.
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.
应用推荐