2) univariable fitting
单变量拟合
3) multivariate fitting
多变量拟合
1.
The multivariate fitting method of inductance calculation is proposed,which is based on the single relationships between inductance value and inner radius,turns and diameter of wire,integrated with least square method.
提出了电感的多变量拟合方法,在拟合电感值与电抗器的内径、匝数、导线线径单变量关系的基础上,结合最小二乘法,求解出电感与这些变量之间的多变量关系。
4) bivariate smooth surface fitting
双变量表面平滑拟合
1.
In order to improve the precision of anlayzing data in flow measurements, the corresponding functions were given on the basis of the characteristics of the distributions of calibration coefficents and the bivariate smooth surface fitting developed by Akima was applied to get interpolated values.
为了提高分析流场测量数据的精确度,根据气动探针标定曲线分布的特性,构造了相应的函数,并应用Akima发展的双变量表面平滑拟合法进行插值计算,给出了理论误差分析结果。
5) dummy variable
虚拟变量
1.
Evaluating relatively stable points by dividing-into-group regression based on dummy variables;
基于虚拟变量的分段回归探寻相对稳定点
2.
The daily power consumption was sectionized according to its characteristics of value changing with time and temperature and corresponding dummy variables were imported.
介绍了线性回归分析中虚拟变量的概念和意义,根据日用电量随时间和温度变化的特性,将其分段并引入相应的虚拟变量,在此基础上建立电量预测的回归模型,并以南京市2002年至2004年日用电量为样本进行预测检验,预测结果表明了该方法的有效性。
3.
The intercept and slope of dummy variable model do not remain constant ,but the variant of parameter is discrete but not continuous.
尽管在虚拟变量模型中,使回归模型的截距或斜率不再是固定不变的,但参数的变化是离散的,而不是连续的。
6) dummy variables
虚拟变量
1.
Application of dummy variables in electric consumption forecasting;
虚拟变量法在用电量预测中的应用
2.
The Application of Dummy Variables to the Linear Regression Model;
虚拟变量在线性回归模型中的一种应用
3.
By the use of dummy variables,a practical solution to the lack of fitting of regression is given in this essay.
针对线性回归模型中仅用数量变量而引起的个别特异点对回归方程拟合不足的问题,利用虚拟变量表示相关的非数量因素可能产生的影响,并以实例说明解决这类问题的方法。
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
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