The amount of calculation is smaller than that of common polynomial regression model.
计算量比普通的多项式回归模型小。
It is programmed in IBM-PC computer to construct polynomial regression model for saving energy resource in Zhengzhou Aluminum Company.
程序在IBM - PC微机上实现多元回归模型对郑州铝厂节能技术改造的决策分析。
The piecewise polynomial regression model was established based on analyzing the scatter diagram of the speed change with the install distance.
最后，进行了回归结果分析，分析结果表明分段多项式回归模型是正确有效的。
Stochastic parameter sensitivity of SRM grain structure was analyzed based on viscoelastic stochastic finite element method(VSFEM) and polynomial regression model.
基于粘弹性随机有限元法（VSFEM）和多项式回归模型，分析了固体火箭发动机药柱结构的随机参数灵敏度。
The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.
第六部分采用一元线性回归、多项式回归、灰色系统G（1，1）模型和组合预测模型对山东省现代物流业未来需求状况进行了中期预测。
Nonlinear multiple regression model on the structure activity relationship of ternary dissymmetric organic phosphate insecticide is obtained by quadratic polynomial stepwise regression method.
采用二次多项式逐步回归分析法建立了三元不对称有机磷酸酯类杀虫剂的多元非线性构效关系回归模型。
We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
采用多元正交多项式回归方法建立了冬小麦生产经济收益预测的多元正交多项式回归模型。
The paper suggests an approach, utilizing the weighted polynomial regression for the best fitting of the variogram about spherical model or two-order nested spherical model.
本文提出了一种用加权多项式回归对球状模型和二级套合球状模型的变差函数进行最优拟合的方法。
After data preprocessing, a regression model between calorific and ash content was founded by polynomial regression.
经预处理后的数据，运用多项式回归建立了煤炭发热量与灰分之间的回归模型。
Then it established the mathematical model of temperature and thermal errors using the polynomial linear regression theory.
然后应用多元线性回归理论建立了关键测温点的温升和热误差的数学模型。
This paper mainly studies the nonparametric regression estimation model of local polynomial.
论文主要研究了非参数局部多项式回归估计模型。
A static mathematical model of humidity sensing element is obtained using least square regression analysis, through regression of measured data into polynomial expression.
本文采用最小二乘法回归分析，将湿敏元件的测试数据回归成多项式，获得元件的静态数学模型。
A static mathematical model of humidity sensing element is obtained using least square regression analysis, through regression of measured data into polynomial expression.
本文采用最小二乘法回归分析，将湿敏元件的测试数据回归成多项式，获得元件的静态数学模型。
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