Multiple regression models can accommodate many explanatory variables that may be correlated.
回归模型能容许很多解释变量，而这些变量可以是相关的。
We used multiple logistic regression models to examine the association between spondylolysis, spondylolisthesis, and LBP, while adjusting for gender, age, and BMI.
在校正性别，年龄及BMI后，我们采用多因素对数回归模型对LBP与椎体滑脱或脊柱前移的关系进行了分析。
It is feasible to predict soil infiltration capacities by routine physical parameters with stepwise regression models with multiple units.
采用多元逐步回归模型用常规土壤物理参数对土壤水分入渗模型参数进行预报是可行的。
The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.
将识别问题看作是多个线性回归模型中的分类问题，并用稀疏表示理论解决这些问题。
On the basis of a lot of experimental datas, experimental mathematical models of electric spark forming of several sorts of materials are built up with multiple linear regression analysis.
在大量实验数据的基础上，采用最小二乘法建立了实用的多种材料电加工实验数学模型。
Taking Chinese eastern plains as an examples, the authors construct a set of predication models for trace metal partitioning with multiple regression functions.
对已有的一些工作进行了总结，并以我国东部平原为例，建立了土壤微量金属多元回归相分配预测摸型。
The proposed models are shown to be more accurate prediction results than multiple regression, ARIMA and neural network models.
藉由实证范例分析，本研究建构之 出货预测模式预测能力较多元迴归模式、时间數列 模式与類神经网路模式佳；
The proposed models are shown to be more accurate prediction results than multiple regression, ARIMA and neural network models.
藉由实证范例分析，本研究建构之 出货预测模式预测能力较多元迴归模式、时间數列 模式与類神经网路模式佳；
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