• Then the corresponding multivariate linear regression equations are established.

    建立相应多元线性回归方程

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  • Two linear regression equations between wood moisture and both calorific value and fuel loss were developed.

    文中提出了热值含水率热值损失率与含水率两个线性回归方程式

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  • Methods Analyzing the Survival function of the original lifetime data, and developing Linear Regression Equations by means of related analysis data.

    方法原始寿命数据进行生存函数分析,利用相关分析数据建立线性回归方程

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  • Our BASIC program is used in the calculation and regression analysis for clw yarns, the plural linear regression equations between technical parameters and quality targets are given.

    利用我们编制的BASIC程序电子计算机上纱进行计算回归分析研究, 打印出了各工艺参数与各质量指标之间多元线性回归方程

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  • For chilled beef and peanut, the linear regression equations between the concentration of specific hydrocarbons and dose were built with the correlation coefficient R2 more than 0.99.

    分别冷却牛肉花生为样品建立了辐解形成标识性碳氢化合物浓度-剂量线性回归方程相关系数r2达到0.99以上。

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  • Several linear regression equations of the specific heat at constant volume for ideal gas based on MATLAB were proposed and proved by mathematical statistics, with maximum relative error less than 5%.

    利用MATLAB数值回归分析功能,得到了几种常见理想气体比热容与温度线性回归公式数理统计分析的结果证明了这些回归公式的合理性,回归公式的最大相对误差低于5%。

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  • A stepwise nonlinear fitting procedure was proposed to nonlinear fitting equations that USES Marquardt nonlinear fitting analysis and stepwise linear regression alternatively.

    对于非线性函数线性组合型相关方程,本文提出交替运用非线性逐步线性回归分析相结合的方法逐步非线性拟合。

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  • Objectives and Assumptions of Linear Regression, Estimating Regression Coefficients, Normal Equations.

    线性规划假设目的规划估计系数标准方程

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  • Linear regression models are established for both logarithm of heavy metal content and normalized ratio emissivity and are used to verify the significance of the regression equations.

    建立了土壤重金属含量数值发射率标准化比值线性回归模型回归方程显著性进行了检验

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  • The empirical equations for predicting heat transfer coefficients and fluid resistance factors are given by the multi-element linear regression method.

    并用多元回归整理出计算传热阻力系数的经验并联式。

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  • The empirical equations for predicting heat transfer coefficients and fluid resistance factors are given by the multi-element linear regression method.

    并用多元回归整理出计算传热阻力系数的经验并联式。

    youdao

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