• Based on the regression analysis, binary linear regression equation related to fire and weather factors has been established.

    应用回归分析,建立了火灾与气象因素的二元线性回归方程,给出了方程的剩余标准差,对方程的精度进行了检验。

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  • The theory of multiple variable linear regression equation and grey system forecast was applied to resolve cost evaluation of the weapon system.

    该文应用回归分析和灰色系统预测理论建立参数方程,解决武器系统制造成本估算问题。

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  • The linear regression equation on the relationship between peroxide content in acrylonitrile and PAN fiber yellowness was obtained by regression analysis.

    采用回归分析法,得出描述丙烯腈中过氧化物含量与聚丙烯腈纤维黄度之间关系的一元一次线性回归方程。

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  • Multiple linear correlation analysis and related analysis were performed to set up the linear regression equation for the association of the factors with BP.

    应用多元直线相关分析和相关分析,建立直线回归方程,考察各因素与血压的相关性。

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  • The mathematical model of six-factor linear regression equation about conductivity on the basis of aluminium electrolysis practice was derived in four stages.

    并根据工业铝电解的实际情况,分四段求出了其电解质的电导率数学模型。

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  • This method including amplitude and harmonic method, using the two kinds of methods for compaction test, fitting the linear regression equation for compaction degree.

    此方法包括幅值法和谐波法,采用这两种方法进行了压实度检测试验,拟合出了压实度值的线性回归公式。

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  • Results: Water iodine content calculated by linear regression equation, multiplied by coefficient of rectification, equals that calculated by index regression equation.

    结果利用线性回归方程计算出的水碘含量,通过与校正系数相乘等于指数回归方程计算出的水碘含量。

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  • The quasi-static input-output linear regression equation of the measuring system is established, and the testing results of input-output curve linearity and sluggishness are given.

    建立了该检测系统的准静态输入输出线性回归方程;测试了系统的输入输出特性曲线、线性度和迟滞性;

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  • Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.

    用间接观测平差法分析线性回归方程,用曲线中点比较法选择最优非线性回归方程。

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  • Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.

    用间接观测平差法分析线性回归方程,用曲线中点比较法选择最优非线性回归方程。

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