1) exponential regression analysis
指数回归分析
1.
By error analysis,combined with exponential regression analysis,in the 1 95.
利用该方程和光谱反射率值进行土壤水分反演 ,通过对反演结果的误差分析 ,结合光谱反射率与体积含水量的指数回归分析 ,笔者认为采用 1 95 0 nm~ 2 2 5 0 nm波段的光谱反射率估测土壤含水量效果较
2) nonparametric regression analysis
非参数回归分析
1.
Five predict methods have been used like step by step regression analysis, neural network, correlation filter, cokriging and nonparametric regression analysis.
利用逐步回归分析、神经网络、相关滤波、协克里金和非参数回归分析等方法 ,实现了由地震资料与测井资料联合应用对孔隙度参数的平面分布预测。
3) functional regression analysis
函数回归分析
1.
This article mainly introduces the procedure of functional regression analysis and some studies in which this method is used to predict body motion trajectories.
函数回归分析作为一种新近发展的纵向数据处理方法,已被应用于肢体运动轨迹预测领域,并取得了一系列研究成果。
4) regression analysis of variable parameters
变参数回归分析
1.
オhe fracture density model for the pelite reservoirs in several wells in the Gaojiaya oil field,Xinjiang is presented by means of the regression analysis of variable parameters.
本文利用变参数回归分析建立了多口井的泥质岩储层裂缝密度模型。
5) 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。
6) index regression
指数回归
1.
Comparative studies on calculations of index regression and linear regression in determination of water iodine.;
水碘测定中指数回归与线性回归计算结果的对比
2.
In order to get more reasonable and accurate forecasting values of service life about electronic parts of vehicular electronic equipments,a combined forecasting model combining index regression and gray forecasting was proposed based on the life data of electronic parts of vehicular electronic equipments and some new forecasting techniques.
为了得到更合理、准确的车用电子设备电子器件寿命预测结果,基于车用电子设备电子器件寿命数据,结合现代新的预测理论技术,提出一种指数回归-灰色理论相结合的组合预测模型。
3.
The trends of spatial variability of soil salinity were similar to each other by three methods,but the spatial distributions of soil salinity by index regression and regression-Kriging were more specific and thorough than that by Kriging interpolation.
利用Kriging、指数回归和回归-Kriging3种不同的方法对土壤盐分空间变异性进行分析。
补充资料:多元回归分析
多元回归分析
multiple regression analysis
用多元线性方程来描述和分析多个变量之间关系的统计分析方法。线性方程系数正、负表示正、负相关;系数权重比较表示这些变量在相关关系中贡献大小。但预报仅为大致的估计值。
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