Consistency, Jump-preserving estimation, Local linear fit, Nonparametric regression, Smoothing, Weighted residual mean square,
In this article we study the method of nonparametric regression based on a transformation model, und...
[[abstract]]A variance reduction technique in nonparametric smoothing is proposed: at each point of ...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
Jump-preserving regression and smoothing using local linear fitting: a compromis
This paper deals with nonparametric estimation of a regression curve, where the estimation method sh...
summary:For nonparametric estimation of a smooth regression function, local linear fitting is a wide...
Abstract: Local linear kernel methods have been shown to dominate local constant methods for the non...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
In this article we study nonparametric regression quantile estimation by kernel weighted local linea...
Kernel smoothing, Local linear regression, Semiparametric density estimation, Transformations,
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
There are three nonparametric regression methods covered in this section. These are Moving Average F...
SIGLETIB: RO 2708 (71) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbib...
This report describes a method for smoothing observed data when the values of the dependent variable...
In this article we study the method of nonparametric regression based on a transformation model, und...
[[abstract]]A variance reduction technique in nonparametric smoothing is proposed: at each point of ...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
Jump-preserving regression and smoothing using local linear fitting: a compromis
This paper deals with nonparametric estimation of a regression curve, where the estimation method sh...
summary:For nonparametric estimation of a smooth regression function, local linear fitting is a wide...
Abstract: Local linear kernel methods have been shown to dominate local constant methods for the non...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
In this article we study nonparametric regression quantile estimation by kernel weighted local linea...
Kernel smoothing, Local linear regression, Semiparametric density estimation, Transformations,
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
There are three nonparametric regression methods covered in this section. These are Moving Average F...
SIGLETIB: RO 2708 (71) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbib...
This report describes a method for smoothing observed data when the values of the dependent variable...
In this article we study the method of nonparametric regression based on a transformation model, und...
[[abstract]]A variance reduction technique in nonparametric smoothing is proposed: at each point of ...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
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