In the stepwise regression model, preoperative normal sensory function was a positive predictor and worker's compensation a negative predictors of overall clinical success.
在逐步回归模型中，术前感觉功能正常是正向预测因子，而工伤保险赔偿是完全临床治愈的负性预测因子。
Objective In the regression analysis, the performance of the fit is up to the choice of the expectation function for the model.
目的回归分析中，曲线拟合的好坏，取决于我们选择的期望函数模型是否适宜。
A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
When multiple outliers occur in linear regression model or the distribution of residuals is not normal, we can use residuals rank as weight function to get some resist estimator.
线性回归模型的误差项不服从正态分布或存在多个离群点时，可以将残差秩次的某些函数作为权重引入估计模型来减少离群点的不良影响。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
Partial least-squares regression (PLS) method is applied in the construction of the production function based cost function model of electricity distribution utilities.
文中应用偏最小二乘（PLS）回归方法建立了配电商的基于生产函数理论的成本函数模型。
Using linear programming technique and scaling kernel function, the support vector regression model was obtained.
通过线性规划技术和采用尺度函数作为核函数来实现支持向量回归模型。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for 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。
Then, by the function expansion, the nonlinear transfer function of this model was converted to intermediate model which is linear one and can be identified using support vector regression (SVR).
再利用函数展开将模型的非线性传递函数转换为等价的线性中间模型，并通过SVR求取中间模型参数。
As the extension of multiple regression model, transfer function model needs less presuppositions, thereby satisfied with condition easily, applied to practical system extensively.
作为多元回归模型的推广，传递函数模型建模的假定较少，容易得到满足，在现实的系统中有着广泛的应用。
The model which combined Cobb-Douglas production function, multiple regression model and exponential smoothing model can improve the accuracy of fix and forecast by proper weighs.
通过赋予合理权重，将C-D生产函数模型、多元回归模型和指数平滑模型加权组合。
This method is a modified model of Statistical Jump Regression Analysis, and also modifies the energy function from L2 to L1.
该方法是基于统计的跳变回归方法的改进型，并将能量函数由L2改为L1。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
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