sample covariance

sample covariance的基本解释

-

样本协方差

与sample covariance相关的网络例句 [注：此内容来源于网络，仅供参考]

However, these methods are estimated according to sample variance and covariance estimators of returns.

然而，这些方法都是根据样本的变异数或报酬的共变异数估算的估计值。

Finally, the difference of the positive definite conditions for discrete and continuous sample covariance matrix is discussed.

并通过比较两者的正定性条件，总结出离散型与连续型样本协方差矩阵的不同之处。

In this paper, we get the distribution of the Bartletts decomposition of sample covariance matrices.

而把协方差矩阵当作相同的来处理，又会带来偏差。

Traditional multivariable analysis method, for example, principal component analysis method and factor analysis method, are common in calculating the mean vector, the covariance matrix of sample and other variables.

摘要传统的多元统计分析方法，如主成分分析方法和因子分析方法等的共同点是计算样本的均值向量和协方差矩阵，并在这两者的基础上计算其他统计量。

The commons among those methods is that all of them calculate the mean vector and the covariance matrix of sample then calculate other variables by using them.

这些方法有个共同的地方就是都会计算样本的均值向量和协方差矩阵，并在这两者的基础上计算其他统计量。

与sample covariance相关的网络解释 [注：此内容来源于网络，仅供参考]

sample covariance：样本协方差

"sample change compaction ","选样变更紧致法" | "sample covariance ","样本协方差" | "sample function ","样本函数"

sample covariance：样本协变异数

样本相关系数 sample correlation coefficient | 样本协变异数 sample covariance | 样本十分位数 sample deciles

sample covariance：样本均方差

样版 proof plane | 样本均方差 sample covariance | 样本离差 sample dispersion

sample covariance：樣本共變異

Sample correlation coefficient 樣本相關係數 | Sample covariance 樣本共變異 | Sample kurtosis 樣本峰態

sample covariance matrix：样本协方差矩阵

此矩阵包含了样本外显变项间的相互关系,称为样本协方差矩阵(sample covariance matrix),简写S. 为揭示外显变项相互关系所隐含潜伏因子(latent factors)之特性及关系,研究者建立模式界定潜伏因子与外显变项之关系,称为测量模式(measurement model).