1) generalized correlation coefficients
广义相关系数法
1.
Based on generalized correlation coefficients(GCC),an online monitoring method is presented.
针对多向主元分析法(MPCA)在线监控传统方法的预测能力差而常常导致误报、漏报的实际情况,基于广义相关系数法提出一种在线监控方法。
2) generalized relative coefficient
广义相关系数
1.
And gives the relation between the generalized relative coefficient and is given.
该文从最大特征根出发,定义了相对效率e4(β),研究了当设计矩阵X满秩,协方差阵Σ正定时e4(β)的下界为δpλn-p+1/(δ1λ1),讨论了e4(β)与广义相关系数ρz(3)之间的关系。
2.
The paper gives a lower bound and a relation with the generalized relative coefficient where the design matrix is nonsingular in the model.
给出了当设计矩阵满秩,协方差阵非负定时这种新的相对效率的下界,研究了新的相对效率与广义相关系数之间的关系。
3.
Study is made on its lower bound and the relation with the generalized relative coefficient.
对线性模型的最小二乘估计(LSE)与最佳线性无偏估计(BLUE)定义了一种新的相对效率,新的相对效率定义为最小特征根的比值,之后研究了它的下界及它与广义相关系数之间的关系。
3) generalized correlation coefficient
广义相关系数
1.
Non-linear generalized correlation coefficient of biology trait;
一种度量生物性状非线性相关性的广义相关系数
2.
We propose selecting more meaningful assocation rules from those already discovered by the original Apriori algorithm; the selection is done by merging generalized correlation coefficient with Apriori algorithm.
为了达到这个目标 ,将泛逻辑中的广义相关系数与 Apriori算法相结合。
3.
Thus, we get the relationship between generalized correlation coefficient which is about random vector with and generalized correlation coefficient which is about random vect.
对于不同类型的矩阵A和B,讨论了随机向量x和y的典型相关系数与Ax和By的典型相关系数之间的关系,从而得到了x和y的广义相关系数与Ax和By的广义相关系数之间的关系。
4) general correlation coefficient
广义相关系数
1.
The canoical correlation coefficient of multiple variables vector is defined in this paper,and the general correlation coefficient is introduced.
定义了多维随机向量的典型相关系数,并引入了广义相关系数的概念。
2.
A general correlation coefficient is proposed and three diffe.
提出了描述变量间包括线性和非线性的相关程度的一种以互信息为基础的广义相关系数指标Rg ,给出三种算法 :等间距法、等概率法和等概率递推法。
3.
In this paper, we study the relationship between average mutual communication and general correlation coefficient in information theory.
本文探讨了信息论中平均互信息和广义相关系数的关系。
5) coefficients of generalized correlation
广义相关系数
1.
For the least square estimates of unknown parameters in linear models,this paper studied relations between some coefficients of generalized correlation and a new relation efficiency ,and we obtained the more satisfactory results.
对于线性模型未知参数的最小二乘估计，对于一种新的相对效率，研究了它与某些广义相关系数的关系，并且取得了比较满意的结果
6) generalized self-correlation coefficient
广义自相关系数
1.
The relational concep-tions on generalized interval,is given,the universal logic self-correlation of exponential distributing is studied,the corresponding N-norm,N-generator is given,the relationships among N-norm s fixed point,generalized self-correlation coefficient,and parameter is discussed.
给出了广义区间,上的相关概念,研究了指数分布的泛逻辑自相关性,给出了指数分布对应的N范数、N性生成元,讨论了N范数不动点及广义自相关系数与指数分布参数之间的关系。
补充资料：广义
范围较宽的定义（跟‘狭义’相对）：～的杂文也可以包括小品文在内。
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