linear regression model信息详情
[数]线性回归模型
linear regression───[数]线性回归
generalized linear model───广义线性模型
robust regression───稳定回归
linear combination───[数]线性组合
regression test───n.回归测试
ordinal regression───有序回归
regression equation───[数]回归方程;回归方程式
linear equations───方程式,[数]线性方程组;[数]线性方程;[计]线性方程组
linear relationship───线性关系
Spatial distribution of TN content could be forecasted by using linear regression model.───利用线性回归模型,可以预测TN含量的空间分布。
There is a regression constant in the linear regression model. But it is not significant in some conditions.───线性回归建模时,一般都采用有常数项的模型,而不去考虑它对回归的作用是否显著。
regression equation was deduced with a multivariate linear regression model.───多元线性回归模型,得出了多因子复合流变方程。
Linear regression model is useful to evaluate the adaptation of a quantitative character to the change of environments.───直线迴归模式能有效地估计数量性状对环境的适应能力。
Owing to the conventional linear regression model is sensitive to abnormal data, therefore the regression equation is not stable en ough .───由于常规线性回归模型对个别异常数据敏感,所以回归方程欠稳定。
Simple linear regression model is applied to compare the difference in SGA usage pattern between public and private hospitals.───使用简单线性回归模型来比较公立医院和私立医院之间SGA使用模式的差异。
Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.───同时,分别建立了回弹量的线性回归预测模型和BP神经网络预测模型。
The comparison demonstrates that the model is superior to linear regression model in precision.───精度检验合格,经比较该模型预测精度优于线性回归模型的预测精度。
Ultimately determine the optimal linear regression model, and apply the simple model predictions.───最终确定最优线性回归模型,并应用模型进行简单的预测。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
A multiple linear regression model was used to assess the independent effects on diabetic control of those variables studied.
Time trends and age at diagnosis were evaluated with a linear regression model by the method of least squares.
In this paper, an evaluation model is set up by utilizing statistical linear regression model method.
Simple linear regression model is applied to compare the difference in SGA usage pattern between public and private hospitals.
The results showed that the length of score vector in AMMI model was better to explain genotype by environment interaction than by joint linear regression model.
In this paper, an inputoutput incremental simple linear regression model is used as a predictive model of black box systems, and a projection algorithm is adopted to estimate the model parameters.
Shared care did not contribute to the multiple linear regression model.
The sampling distribution and hypothesis testing of this non-linear generalized correlation coefficient will be studied with linear regression model .
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