Covariance analysis with forward stepwise variable selection was carried out.
统计方法采用逐步向前变量选择协方差分析。
This paper describes a variable selection method of nonlinear econometric modeling.
提出了非线性计量经济建模变量选择的一种方法。
This paper also introduces a relevant method of variable selection and some application of the model in educational data analysis.
本文还提出了与之相关的模型变量优选的方法以及该模型在教育数据分析上的应用。
The variable selection method based on traditional statistical technique can not achieve high accuracy in financial distress prediction.
传统的基于统计技术的变量筛选法不能保证财务困境预警模型的精度。
Then, some methodologies on data clearing are introduced, and we propose an algorithm on variable selection through sensitivity analysis.
文中提出了数据清理的一些方法，给出了通过灵敏度分析来进行因子筛选的一种算法。
It is shown that the SVM has good predictive capacity after variable selection and the final SVM model has the generalization accuracy of 93.30%.
结果表明，SVM方法通过变量筛选后具有很好的预测能力，其预测正确率达到93.30%。
The variable selection, data preprocessing and model structure of power load forecasting, and their effects on forecasting precision are discussed.
着重论述了电力负荷预测中建模变量的选择、数据的预处理方法、模型的拓扑结构及其对预测精度的影响。
Variable selection in statistical modeling process is an extremely important issue, but there are some drawbacks in the traditional variable selection methods,.
变量选择在统计建模过程中是极其重要的问题，但传统的变量选择方法却存在一些不足。
Wavelength selection methods are variable selection techniques that allow calibration models to be constructed with a subset of spectral points instead of with the whole spectrum.
波段选择也属于变量选择，它是用选出来的波段代替全波段建模从而改善模型的性能。
Variable selection and transformation selection are two different problems in the linear model.
变量选择和变换选择是线性模型中的两个不同的问题。
Variable selection and transformation selection are two different problems in the linear model.
变量选择和变换选择是线性模型中的两个不同的问题。
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