Chinese translation for "variance contribution"

方差贡献

Related Translations:

federal insurance contribution act:  联邦保险税特别税法

variance criterion:  方差标准方差准则

variance with:  和不和

positive variance:  正差异

component variance:  成分变异数

variance partitioning:  方差划分

discontinuous variance:  非连续性变量

activity variance:  业务活动差异业务活动量差异作业差异

variance planning:  计划差异

dominance variance:  显性变量显性变异

Example Sentences:

	1.	Regarding the variance contribution rate of each factor as right count weight , this thesis gets the evaluation score and rank 在计算综合得分时是以因子的方差贡献率为权数加权求和，由此得到各地区的综合得分以及排名。
	2.	Spca arithmetic has smaller number of spectral principal components and greater variance contribution than pca by choosing proper kernel functions and parameters 当选取合适的核函数和参数时，谱主成分的个数比主成分的个数要小且累积方差贡献率要大。
	3.	The results of numerical calculations show that : the number of spectral principal component and cumulate variance contribution are different its depending on kernel functions 通过数值例子计算表明：取不同核函数而得到的谱主成分分析，其谱主成分的个数及累积方差贡献率是有差别的。
	4.	Via numeric sample analysis , it is found that evaluation functions are constructed by weighing principal components for pca . however , evaluation functions can be quite different when there are more than three principal components and characteristic vectors other than first one are chosen in different directions . for spca , variance contribution can be greater than 90 % by selecting just one principle component 将谱主成分分析应用于多指标评价系统中，通过数值例子分析：主成分分析是通过对各个主成分加权构造评价函数，当主成分个数不小三个时，从第二个特征向量开始，对方向的不同选取，可导致评价函数的极大差异：而用谱主成分分析，能做到只取一个谱主成分就可使方差贡献率大于90 。
	5.	Therefore , spca gotten via selecting polynomial kernel functions is more accurate than pca in multi - index evaluation system , and has fewer dimensions . comparatively , for spca using gauss kernel function and laplace kernel function , it is required to normalize original data according to the category , and the constructed evaluation functions are better than the ones constructed via using pca . however , if variance contribution of first principal component of pca is more than 85 % , evaluation function curves of spca and pca are similar 在作多指标评价中，选用多项式核函数而得到的谱主成分分析，比主成分分析得到的主成分具有维数低且精度高的优点；而用gauss核函数和laplace核函数的谱主成分分析，需对原数据作同类别数据间的规范化，其构造的评价函数也优于用主成分方法构造的评价函数。

Similar Words：

"variance component" Chinese translation, "variance component estimate" Chinese translation, "variance component model" Chinese translation, "variance components" Chinese translation, "variance components method" Chinese translation, "variance covariance" Chinese translation, "variance covariance matrix" Chinese translation, "variance criterion" Chinese translation, "variance decomposition analysis" Chinese translation, "variance direct labour rate" Chinese translation