1) the Local Kernel Least Square Regression
![点击朗读](/dictall/images/read.gif)
局部核权最小二乘回归
2) Local partial least square
![点击朗读](/dictall/images/read.gif)
局部偏最小二乘回归
3) Local least square regression
![点击朗读](/dictall/images/read.gif)
局部最小二乘回归
4) locally kernel weighted least squares
![点击朗读](/dictall/images/read.gif)
局部核权最小二乘法
1.
Based on the locally kernel weighted least squares fit of the nonparametric regression models, this paper presents the nonparametric testing method for nonlinear cointegration.
本文基于非参数回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。
5) local least squares support vector regression
![点击朗读](/dictall/images/read.gif)
局部最小二乘支持向量机回归
6) KPLS regression
![点击朗读](/dictall/images/read.gif)
核偏最小二乘回归
补充资料:最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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