Abstract:- In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed with a program that coded in MATLAB. This simulation study provides a comparison of the five popular smoothing parameter selection criteria. Thus, the emprical performances of the five selection criteria have been investigated and suitable criteria, which used for smoothing parameter selection, have been obtained
Regression spline smoothing is a popular approach for conducting nonparametric regression
Smoothing parameter selection is among the most intensively studied subjects in nonparametric functi...
[[abstract]]Spline smoothing is a popular technique for curve fitting, in which selection of the smo...
There are two popular smoothing parameter selection methods for spline smoothing. First, smoothing p...
B-spline smoothing, generalized linear model, information criteria, smoothing parameter selection,
[[abstract]]In nonparametric regression, smoothing splines are a popular method for curve fitting, i...
[[abstract]]In nonparametric regression, smoothing splines are a popular method for curve fitting, i...
This paper considers performance of some smoothing parameter selection methods in Generalized Estima...
This paper studies nonparametric regression using smoothing splines. It proposes a method that combi...
This paper introduces the operating of the selection criteria for right-censored nonparametric regre...
Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduc...
Residuals are minimized in a correlated dataset by selecting a smoothing parameter with optimum perf...
This thesis is a contribution to the research area concerned with selection of smoothing parameters ...
This thesis is a contribution to the research area concerned with selection of smoothing parameters ...
This thesis is a contribution to the research area concerned with selection of smoothing parameters ...
Regression spline smoothing is a popular approach for conducting nonparametric regression
Smoothing parameter selection is among the most intensively studied subjects in nonparametric functi...
[[abstract]]Spline smoothing is a popular technique for curve fitting, in which selection of the smo...
There are two popular smoothing parameter selection methods for spline smoothing. First, smoothing p...
B-spline smoothing, generalized linear model, information criteria, smoothing parameter selection,
[[abstract]]In nonparametric regression, smoothing splines are a popular method for curve fitting, i...
[[abstract]]In nonparametric regression, smoothing splines are a popular method for curve fitting, i...
This paper considers performance of some smoothing parameter selection methods in Generalized Estima...
This paper studies nonparametric regression using smoothing splines. It proposes a method that combi...
This paper introduces the operating of the selection criteria for right-censored nonparametric regre...
Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduc...
Residuals are minimized in a correlated dataset by selecting a smoothing parameter with optimum perf...
This thesis is a contribution to the research area concerned with selection of smoothing parameters ...
This thesis is a contribution to the research area concerned with selection of smoothing parameters ...
This thesis is a contribution to the research area concerned with selection of smoothing parameters ...
Regression spline smoothing is a popular approach for conducting nonparametric regression
Smoothing parameter selection is among the most intensively studied subjects in nonparametric functi...
[[abstract]]Spline smoothing is a popular technique for curve fitting, in which selection of the smo...