1) mixed geographically weighted regression
混合地理加权回归
1.
Two kinds of estimation of mixed geographically weighted regression model;
混合地理加权回归模型的两种估计
2.
The spatial change features of relations between the precipitation on the one hand and longitude,latitude and the altitude above sea level on the other hand are analysed by means of geographically weighted regression and mixed geographically weighted regression.
利用地理加权回归(GW R)和混合地理加权回归(MGW R)方法主要分析了我国部分区域降水量与经纬度及海拔关系的空间变化特征。
2) mixed geographically weighted regression model
混和地理加权回归模型
3) Geographically weighted regression
地理加权回归
1.
The spatial change features of relations between the precipitation on the one hand and longitude,latitude and the altitude above sea level on the other hand are analysed by means of geographically weighted regression and mixed geographically weighted regression.
利用地理加权回归(GW R)和混合地理加权回归(MGW R)方法主要分析了我国部分区域降水量与经纬度及海拔关系的空间变化特征。
2.
This paper introduces the global stationary test of regression relation and the stationary test of each regression coefficient changes with spatial location in geographically weighted regression model by theory of least squares estimate.
利用最小二乘估计理论,给出了在地理加权回归模型(GWR模型)中回归关系的全局平稳性检验方法和各回归系数随空间位置变化的平稳性检验方法。
3.
Based on the data observatory from 216 weather stations in the main land of China from 1961 to 2000,the spatially-varying characteristics of the relationships between the annual precipitation and altitude are analyzed by the geographically weighted regression technique.
基于我国大陆地区从1961年到2000年216个气象站的气象资料,利用地理加权回归方法分析了我国年降水量与海拔高度关系的空间变化特征。
4) geographically weighted regression procedure
地理加权回归方法
5) geographical weighed regression(GWR)
地理加权回归模型
1.
Using geographical weighed regression(GWR) model of spatial varying-coefficient regression models(SVCRM) of spatial econometrics,this paper analyses the locally relationship between electricity consumption and economic development of 30 Chinese provinces.
采用电力消费模型,利用局域空间计量经济学模型方法———空间变系数的地理加权回归模型,对中国省域电力消费与经济增长之间的关系进行了局域空间计量经济分析。
6) weighted regression
加权回归
1.
With the kernel weight based on similarly between target gene and sample genes,which localize missing value estimation,a new method based on weighted regression is presented.
利用相似性信息的核加权函数来实现缺失值回归估计的局部化,提出了基于加权回归估计的基因表达缺失值估计算法。
2.
The weighted regression and nonlinear fitting model parameter optimization method are adopted to make regression analysis of observed data of landslide in different length of period.
采用加权回归和非线性拟合模型参数优化方法 ,对不等时距的滑坡监测资料进行回归分析 通过实例计算 ,证明了上述方法的有效性 ,提高了建模精
补充资料：加权回归
分子式：
CAS号：
性质：如果回归线上的各点的精度不同，对各点赋以不同的权值，用加权最小二乘法确定回归系数，拟合回归方程和回归线。
CAS号：
性质：如果回归线上的各点的精度不同，对各点赋以不同的权值，用加权最小二乘法确定回归系数，拟合回归方程和回归线。
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