通过温热因子和小麦产量的相关分析及最优回归模型的建立，结果表明在降水较少的地区，温热增产作用未能正常发挥；
Through correlation analysis of temperature, heat and wheat yield in Shaanxi province, an optimum regression model of them is established.
为此，结合统计学习理论的研究成果，建立了基于最小一乘准则的最优回归模型，并将其应用于商业银行的信贷风险评估中。
Thus, combined with research results of statistic learning theory, the optimal regress model based on least-absolute criteria, or LaOR model was proposed to solve the problem.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
研究采用二次饱和D-最优设计，建立了夏谷产量与密度、磷、氮肥的回归数学模型。
The regression mathematical models for the yields of summermilletassociated with crop density, N and P fertilizers were established by using the optimal saturation D design.
模型参数用非线性规划的最优化方法进行估计，得到了计算液相当量混合系数的无因次回归方程。
The model parameters are estimated by the optimal method of nonlinear programming, and the equivalent mixing coefficient is regressed in a dimensionless equation.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
利用最优回归设计方法对测定结果进行处理，建立了数学模型。
The results are processed on computer with the Optimum Regression Design Method. By doing so, several mathematical models are set up.
研究结果表明，原始光谱经均值中心化、一阶微分和正交信号校正预处理后，运用多元线性回归法所建葡萄糖和果糖定量分析模型最优。
The MLR mathematical model that established with orthogonal signal correction plus first derivative and mean centre preprocessed spectra shows the best result for glucose and fructose.
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。
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。
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.
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