1) mathematical regression
数学回归
2) regression mathematics models
回归数学模型
1.
By some main technological parameters (consumption of adhesive,hot-pressing pressure) and some basic physical indexes (density,moisture content,thickness),regression mathematics models are obtained when the main physical and mechanical properties of particleboard are analyzed by the method of multi-variance linear regression in order to predict other physical and mechanical properties.
通过刨花板主要生产工艺参数(施胶量、热压压力)以及刨花板成品的一些易测的物理性能指标(厚度、含水率以及密度)与刨花板成品的主要物理力学性能指标(吸水厚度膨胀率、静曲强度、内结合强度)进行多元线性回归分析,建立相关的回归数学模型,以达到对其主要物理力学性能进行预测。
3) parametric regression
参数回归
1.
In this paper K-Nearest Neighbors Kernel Estimation method was applied to forecasting the throughput of empty containers at Hong Kong Port based on regression analysis,which was compared with parametric regression.
以香港港口为例,采用K-近邻核估计对港口空箱吞吐量进行回归计算,将计算结果与参数回归方法的计算结果进行比较,表明K-近邻核估计的拟合效果和预测精度都优于多元线性回归方法的拟合效果和预测精度。
4) data regression
数据回归
1.
Monocular vision distance detection algorithm based on data regression modeling;
基于数据回归建模的单目视觉测距算法
5) regression coefficient
回归系数
1.
The combining generalized ridge and principal components estimator of regression coefficient in growth curve model;
增长曲线模型中回归系数的广义岭型主成分估计
2.
The linear minimax estimation of regression coefficient in a general Gauss-Markov Model under balanced loss function
平衡损失下一般Gauss-Markov模型中回归系数的线性Minimax估计
3.
The relationship of the correlative coefficients and the regression coefficients is proved, and another new target P2 for the correlation degree among the described variables is put forward in the peper.
本文推导了相关系数与回归系数之间的关系，提出了描述变量之间相关程度的另一个新指
6) exponential regression
指数回归
1.
This paper presents an alternative VMT estimation approach that incorporates both traffic counts and link attributes through an exponential regression model in estimating 1ink volumes and VMTs,which are then further disaggregated over the speed and time domains.
文中提出了一种VMT估算模型 ,该模型引入指数回归模型 ,结合采样交通流量和路段特征来估测所有路段流量和VMT ,并按时间和速度进行了进一步划分 ,在实际运用中 ,该模型在现有技术条件下也易于标
2.
The theories of three regression analysis methods were illustrated, which are simple linear regression, exponential regression and weighted exponential regression.
首先阐述了一元线性回归、指数回归、加权指数回归等3种回归分析方法的原理及各模型参数的确定方法。
3.
This thesis gave the forecast models of patients survivor life based on learning from fuzzy examples and exponential regression,and got the joint forecast model through optimizing the two kinds of models.
基于模糊示例学习与指数回归理论分别得到患者生存寿命的预测模型,并对2种模型进行优化组合,提出联合预测模型,其预测结果可为患者选择治疗方案提供必要的信息。
补充资料：多元线性回归模型
分子式：
CAS号：
性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
CAS号：
性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条