multicollinearity中文是什么意思

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中文翻译
造句

多共线性
多元共线性
多重共线性

complete multicollinearity 完全多重共线性
multicollinearity effect 多重共线性效应
multicollector transistor 多集电极晶体管
multicolor 多色; 多种颜色; 杂色的
multicollector electron tube 复集极电子管
multicolor absorption 多色吸收
multicollector 多集电极; 收藏家
multicolor brick 多色砖
multicolinearity 多元共线
multicolor champagre brazil 幻彩香槟
multicolinear -ity 多重共线

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例句与用法

Research on improvement of generalized ridge estimation in multicollinearity condition
复共线性条件下广义岭估计的改进
Multicollinearity problems and their treatment in statistical studies of land use change
论土地利用变化统计分析中的多重共线性问题
It is also found that the potential multicollinearity problem of using the proxy work experience variable is non - negligible
本文亦发现设算工作经验变数可能产生的线性重合问题所造成的影响是不容忽视的。
Thus proposes an alternative method for the research of superiority of two predictors based on the biased estimation . in the light of the approximate multicollinearity of matrix , distance for principal components estimation ( namely distance ) is put forward
针对设计矩阵的多重共线性问题，为了改进基于最小二乘估计的统计诊断量cook距离，提出了基于massy主成分下的cook距离( mpcc距离) 。
The main results are as follows : according to the approximate multicollinearity of matrix , the third chapter constrains the regression coefficient and obtains generalized ridge estimation of the linear model ' s parameter under the ellipsoidal restriction
主要结果如下：论文第三章从设计矩阵的多重共线性角度出发，考虑回归系数的椭球约束，获得了椭球约束下线性模型参数的一种新型估计- -广义岭型估计。
So - called the p - m fuzzy measure space is the standard fuzzy space of testing and evaluating customer satisfaction index which solute the multicollinearity and conform the effective index in consisting of the system of csi by the pls , and then affirm the origin and the estimate radius of the benchmark space in the standard fuzzy csi space by the mts
摘要所谓p一m模糊测度空间就是指利用pls方法，解决cs工测评体系构建过程中的变量之间的多重相关性，科学的确定csi模糊测度空间中的有效指标，进而再通过mts方法确定标准态cs工模糊测度空间中基准空间的原点和判断半径，以此构成标准态cs工的模糊测度空间。
Strong the relationship of tax and economy , adjust the structure of budgetary expenditure … ) and some points need further research ( e . g . the analysis of tax structure … ) this paper adopt unit root test , cointegration test and ecm model to solve the spurious regression of traditional forecast model . var model has good forecast effect and stepwise regression can solve multicollinearity
本文在继承前辈研究成果的基础上力争有所突破,在研究方法上,针对传统税收预测模型存在的某些缺陷,采用单位根检验、协整检验及ecm模型解决困扰计量经济学界多时的伪回归问题; grange因果关系检验、 var模型被证明具有较好的预测效果;逐步回归则有效的克服了多重共线性带来的问题。
And then it emphatically discusses and investigates some problems concerning the mechanism analysis , the diagnostics , measurement and the processing of the ill - conditioning adjustment system . to weaken and overcome the ill effects , some methods and algorithms are suggested and illustrated . the concept of multicollinearity is put forward with variant and data column , respectively
本文在较系统地回顾病态性研究的历史及研究现状的基础上，重点对病态性问题的机理分析、病态性的诊断与度量、病态性的削弱和克服等几个方面进行了探讨和研究，提出了处理病态性的一些方法及相应算法。
First of all , both r & d labor and r & d capital input variables are introduced into the input vector , and a two - level ces production function model is constructed to describe the technology of production . then the firm - level cross - section data of shanghai ’ s main manufacturing industries in 2003 is employed to study the input - output effect of r & d as well as the substitution relationship among input factors . moreover , the thesis also makes a methodological discussion of multicollinearity , and proposes a feasible approach to deal with the problem
首先,在生产函数的投入要素向量中引入r & d投入变量,包括r & d人力投入和r & d资本投入;然后,结合相关的研究经验和本文的研究目的,构建了相应的二级ces生产函数模型;在此基础之上,采用2003年上海主要制造业企业的横截面数据,分行业研究了r & d投入对产出的作用以及r & d投入与非r & d投入之间的替代关系。
Correlative component analysis ( cca ) was used to eliminate multicollinearity and noise of original sample data before classifying by svm . to improve the classification performance of svm and obtain the optimal discriminative function , the ega proposed in this work was used to optimize the parameters of svm including correlative components ( ccs ) , penalty factor c , and kernel width factor
因此，为了充分利用支持向量机良好的分类能力，使之能处理存在复杂相关关系的观测数据，给出了结合分类相关成分分析( cca )的支持向量机建立分类模型的方法( cca - svm ) ，又利用本文第三章所提出的ega算法优化分类相关成分数及支持向量机参数。

英文解释

a case of multiple regression in which the predictor variables are themselves highly correlated

百科解释

Multicollinearity is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, meaning that one can be linearly predicted from the others with a non-trivial degree of accuracy. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.

详细百科解释

其他语种释义

multicollinearityとは意味：{名} : 《統計》多重共線性｛たじゅうきょうせんせい｝

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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT