• 线性影响使回归系数不可靠

    The effect of colinearity is to make the regression coefficients unreliable.

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  • 单个基因内,共线性被破坏

    At the level of individual genes, microcolinearity is frequently disrupted.

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  • 建立了关于校准参数线性方程对其进行线性化。

    A collinearity equation of the calibration parameters was derived and linearized.

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  • 回归方程时,设计矩阵中的线性可能产生不精确参数估计

    In solving the regression equations, collinearity in the design matrix can result in inaccurate parameter estimates.

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  • 实际上DNA蛋白质序列线性认为所有遗传密码基本特征

    In fact, colinearity of DNA and protein sequences is thought to be a fundamental feature of the universal genetic code.

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  • 结果表明设计矩阵高度共线性时,奇异值分解的迭代加细可以改进回归系数估计

    Results show that iterative refinement using the SVD can improve regression coefficient estimates in the cases where the design matrix is highly collinear.

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  • 基因定位比较显示,IL-基因在黑青斑河豚、红鳍东方以及人类中具有保守共线性

    Compared genes up- and down-stream IL- between Tetraodon nigroviridi, Fugu rubripes and human, a high degree of conservation of synteny was found.

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  • 结果趋势分析往往存在共线性利用回归趋势面分析可以在一定程度上控制共线性

    Results there is multi-collinearity bias in the result of the least square estimation trend-surface model, use the method of ridge regression can control the multi-collinearity bias.

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  • 本文理论新的视角审视授信额度的核定模型,从理论上解决了影响因素的多重共线性问题。

    This paper uses symbiosis theory as a new perspective to examine the ratifying model for credit extension and solve in theory such multiple co-linear relationships.

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  • 首先利用线性欧氏距离变性两个特性可以求得图像中的相机坐标系CCS)中的坐标。

    First, the counterparts of the points on image in camera coordinate system (CCS) are found by utilizing two properties, namely collinearity and Euclidean distance invariability.

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  • 由于工具误差分离存在着很强的复线性传统最小二乘方法成分方法不能很好的解决这一问题

    Because the separation for GISE is an almost singular regression problem, the classic least square method and principal component method are not satisfactorily for solving the problem.

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  • 第五探讨了建摸中变量选择影响分析,刻划了数据共线性关系模型错定对自变量选择的影响。

    In Chapter 5 I inquire into the influence analysis of variable selections in modeling through data , multicollinearity andmodel mis-specification.

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  • 并以此基础衍生工具变量回归模型剔除解释变量多重共线性影响后,验证结果准确性

    Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.

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  • 为此,判断了影响负荷经济因素之间存在的多重共线性最小回归方法消除共线性影响,并建立预测模型

    The partial least square regressive method (PLS) is applied to build the model estimating the annual load of NSP, whose results are compared with the ones of least square method.

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  • 同时考虑到特质波动率和相关性两个因素一些影响市场收益率的因素相关,不加任何处理引入定价模型,可能导致自变量之间的多重共线性

    At the same time, considering these two factors correlated with other factors that influence market return, there may be co-linearity in our regression equations if we ignore this phenomena.

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  • 这一结果提示水稻作为禾本科植物模式物种,类植物存在良好的基因组共线性关系,水稻基因组序列信息类植物基因组研究与分析具有重要参考价值

    The results suggested that rice, as model plant for Poaceae, should have significant genomic synteny with bamboos, and its genomic sequences are important resource for bamboo genome research.

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  • 这一结果提示水稻作为禾本科植物模式物种,类植物存在良好的基因组共线性关系,水稻基因组序列信息类植物基因组研究与分析具有重要参考价值

    The results suggested that rice, as model plant for Poaceae, should have significant genomic synteny with bamboos, and its genomic sequences are important resource for bamboo genome research.

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