multicollinearity中文是什么意思

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中文翻譯
造句

多共線性
多元共線性
多重共線性

complete multicollinearity 完全多重共線性
multicollinearity effect 多重共線性效應
multicollector transistor 多集電極晶體管
multicolor 多色; 多種顏色; 雜色的
multicollector electron tube 復集極電子管
multicolor absorption 多色吸收
multicollector 多集電極; 收藏家
multicolor brick 多色磚
multicolinearity 多元共線
multicolor champagre brazil 幻彩香檳
multicolinear -ity 多重共線

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例句與用法

Research on improvement of generalized ridge estimation in multicollinearity condition
復共線性條件下廣義嶺估計的改進
Multicollinearity problems and their treatment in statistical studies of land use change
論土地利用變化統計分析中的多重共線性問題
It is also found that the potential multicollinearity problem of using the proxy work experience variable is non - negligible
本文亦發現設算工作經驗變數可能產生的線性重合問題所造成的影響是不容忽視的。
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
針對設計矩陣的多重共線性問題，為了改進基于最小二乘估計的統計診斷量cook距離，提出了基于massy主成分下的cook距離( mpcc距離) 。
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
主要結果如下：論文第三章從設計矩陣的多重共線性角度出發，考慮回歸系數的橢球約束，獲得了橢球約束下線性模型參數的一種新型估計- -廣義嶺型估計。
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
摘要所謂p一m模糊測度空間就是指利用pls方法，解決cs工測評體系構建過程中的變量之間的多重相關性，科學的確定csi模糊測度空間中的有效指標，進而再通過mts方法確定標準態cs工模糊測度空間中基準空間的原點和判斷半徑，以此構成標準態cs工的模糊測度空間。
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
本文在繼承前輩研究成果的基礎上力爭有所突破,在研究方法上,針對傳統稅收預測模型存在的某些缺陷,采用單位根檢驗、協整檢驗及ecm模型解決困擾計量經濟學界多時的偽回歸問題; grange因果關系檢驗、 var模型被證明具有較好的預測效果;逐步回歸則有效的克服了多重共線性帶來的問題。
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
本文在較系統地回顧病態性研究的歷史及研究現狀的基礎上，重點對病態性問題的機理分析、病態性的診斷與度量、病態性的削弱和克服等幾個方面進行了探討和研究，提出了處理病態性的一些方法及相應算法。
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,在生產函數的投入要素向量中引入r & d投入變量,包括r & d人力投入和r & d資本投入;然后,結合相關的研究經驗和本文的研究目的,構建了相應的二級ces生產函數模型;在此基礎之上,采用2003年上海主要制造業企業的橫截面數據,分行業研究了r & d投入對產出的作用以及r & d投入與非r & d投入之間的替代關系。
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，為了充分利用支持向量機良好的分類能力，使之能處理存在復雜相關關系的觀測數據，給出了結合分類相關成分分析( cca )的支持向量機建立分類模型的方法( cca - svm ) ，又利用本文第三章所提出的ega算法優化分類相關成分數及支持向量機參數。

英文解釋

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

百科解釋

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.

詳細百科解釋

其他語種釋義

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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