摘要
介绍非参数回归模型的两种估计方法,即局部多项式回归和光滑样条回归,并详细阐述了两种方法在R中的实现过程,对理解非参数回归模型有很大帮助,并给出了局部多项式回归和光滑样条回归的程序代码,使非参数回归的应用变得简单,结果解释也较为容易,有利于在实际中应用.
In this paper,two estimation methods of non-parametric regression model are described,namely the local polynomial regression and smoothing spline,and both of the two methods in R impementation process are elaborated,it is very helpful to understand the non-parametric regression model. And given the local polynomial regression and smoothing spline regression program code, the application of non-parametric regression becomes simple,and interpretation of the results is relatively easy,which is so helpful in practical applications.
出处
《哈尔滨师范大学自然科学学报》
CAS
2014年第1期20-25,共6页
Natural Science Journal of Harbin Normal University
关键词
非参数回归模型
局部多项式回归
光滑样条回归
R
Non-parametric regression model
Local polynomial regression
Smoothing spline
R