Add to ORKGIn this paper, we consider three major types of nonparametric regression tests that are based on kernel and local polynomial smoothing techniques. Their asymptotic power comparisons are established systematically under the fixed and contiguous alternatives, and are also illustrated through nonasymptotic investigations and finite-sample simulation studies.Goodness-of-fit Local alternative Local polynomial regression Power Smoothing parameter
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
There are three nonparametric regression methods covered in this section. These are Moving Average F...
In this paper, we consider three major types of nonparametric regression tests that are based on ker...
This paper proposes a new nonparametric test for the hypothesis that the regression functions in two...
Recently, Gijbels and Rousson suggested a new approach, called nonparametric least-squares test, to ...
Typescript (photocopy).In regression analysis, it is always important to test the validity of the as...
AbstractIn this work, we provide a new methodology for comparing regression functions m1 and m2 from...
In this paper, we investigate geometric properties of local polynomial regression and show that the ...
We consider local polynomial fitting for estimating a regression function and its derivatives nonpar...
We consider local polynomial fitting for estimating a regression function and its derivatives nonpar...
Abstract: Local linear kernel methods have been shown to dominate local constant methods for the non...
This paper proposes a test for the equality of nonparametric regression curves that does not depend ...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
In a standard linear model, we assume that . Alternatives can be considered, when the linear assumpt...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
There are three nonparametric regression methods covered in this section. These are Moving Average F...
In this paper, we consider three major types of nonparametric regression tests that are based on ker...
This paper proposes a new nonparametric test for the hypothesis that the regression functions in two...
Recently, Gijbels and Rousson suggested a new approach, called nonparametric least-squares test, to ...
Typescript (photocopy).In regression analysis, it is always important to test the validity of the as...
AbstractIn this work, we provide a new methodology for comparing regression functions m1 and m2 from...
In this paper, we investigate geometric properties of local polynomial regression and show that the ...
We consider local polynomial fitting for estimating a regression function and its derivatives nonpar...
We consider local polynomial fitting for estimating a regression function and its derivatives nonpar...
Abstract: Local linear kernel methods have been shown to dominate local constant methods for the non...
This paper proposes a test for the equality of nonparametric regression curves that does not depend ...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
In a standard linear model, we assume that . Alternatives can be considered, when the linear assumpt...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
This thesis examines local polynomial regression. Local polynomial regression is one of non-parametr...
There are three nonparametric regression methods covered in this section. These are Moving Average F...