We investigate the asymptotic behavior of a robust version of local linear regression estimators with variable bandwidth for spatial associated processes. The weak consistency of the proposed estimators is given under appropriate conditions. Furthermore, we establish the asymptotic normality of the estimators, from which expressions for the asymptotic bias and variance can be derived
This paper considers the nonparametric M-estimator in a nonlinear cointegration type model. The loca...
In this paper, we establish the asymptotic normality through a Berry Esseen type bound, of a local l...
AbstractConsider the nonparametric estimation of a multivariate regression function and its derivati...
© Springer-Verlag 2007We investigate the asymptotic behavior of a robust version of local linear reg...
We study a robust version of local linear regression smoothers augmented with variable bandwidth. Th...
A robust version of local linear regression smoothers augmented with variable bandwidth is studied. ...
When a linear model is used to analyze spatially correlated data, but the form of the spatial correl...
The estimation of the large-scale variability (spatial trend) of a geostatistical process can be acc...
Abstract We investigate the local linear M-estimation for regression in a fixed-design model when th...
We present a local linear estimator with variable bandwidth for multivariate non-parametric regressi...
In this paper, we consider M-estimators of the regression parameter in a spatial multiple linear reg...
In this dissertation, the analysis of spatial data through regression is investigated. Multiple obse...
AbstractWe focus on nonparametric multivariate regression function estimation by locally weighted le...
In this paper, we study a nonlinear cointegration type model , where and are observed nonstationary ...
We focus on nonparametric multivariate regression function estimation by locally weighted least squa...
This paper considers the nonparametric M-estimator in a nonlinear cointegration type model. The loca...
In this paper, we establish the asymptotic normality through a Berry Esseen type bound, of a local l...
AbstractConsider the nonparametric estimation of a multivariate regression function and its derivati...
© Springer-Verlag 2007We investigate the asymptotic behavior of a robust version of local linear reg...
We study a robust version of local linear regression smoothers augmented with variable bandwidth. Th...
A robust version of local linear regression smoothers augmented with variable bandwidth is studied. ...
When a linear model is used to analyze spatially correlated data, but the form of the spatial correl...
The estimation of the large-scale variability (spatial trend) of a geostatistical process can be acc...
Abstract We investigate the local linear M-estimation for regression in a fixed-design model when th...
We present a local linear estimator with variable bandwidth for multivariate non-parametric regressi...
In this paper, we consider M-estimators of the regression parameter in a spatial multiple linear reg...
In this dissertation, the analysis of spatial data through regression is investigated. Multiple obse...
AbstractWe focus on nonparametric multivariate regression function estimation by locally weighted le...
In this paper, we study a nonlinear cointegration type model , where and are observed nonstationary ...
We focus on nonparametric multivariate regression function estimation by locally weighted least squa...
This paper considers the nonparametric M-estimator in a nonlinear cointegration type model. The loca...
In this paper, we establish the asymptotic normality through a Berry Esseen type bound, of a local l...
AbstractConsider the nonparametric estimation of a multivariate regression function and its derivati...
DOI
Add to ORKG