DOIAbstract
Asymptotic normality, Long memory time series, Quantile estimation, Strong consistency, 62M10, 62G05, 62G20,
Asymptotic normality, Long memory time series, Quantile estimation, Strong consistency, 62M10, 62G05, 62G20,
In this paper, we consider the kernel-type estimator of the quantile function based on the kernel sm...
Local kernel estimates and B-spline estimates are considered in the nonparametric regression and the...
1 We investigate the behavior of nonparametric kernel M-estimators in the presence of long-memory er...
Based on right-censored data from a lifetime distribution, some important asymptotic properties of k...
We propose to smooth the entire objective function rather than only the check function in a linear q...
It is of great interest to estimate quantile residual lifetime in medical science and many other fie...
In this paper we study the estimation of a quantile function based on left truncated and right censo...
In this paper, we establish asymptotic normality of Powell's kernel estimator for the asymptoti...
Let be a response variable that is subject to left-truncation by a variable . We consider the proble...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator when...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator whe...
AbstractIn this paper, a representation due to Major and Rejtö for the Kaplan-Meier estimator is app...
We investigate the behavior of nonparametric kernel M-estimator in the presence of long-memory erro...
In this article, we summarize some quantile estimators and related bandwidth selection methods and g...
In this thesis, attention will be mainly focused on the local linear kernel regression quantile esti...
In this paper, we consider the kernel-type estimator of the quantile function based on the kernel sm...
Local kernel estimates and B-spline estimates are considered in the nonparametric regression and the...
1 We investigate the behavior of nonparametric kernel M-estimators in the presence of long-memory er...
Based on right-censored data from a lifetime distribution, some important asymptotic properties of k...
We propose to smooth the entire objective function rather than only the check function in a linear q...
It is of great interest to estimate quantile residual lifetime in medical science and many other fie...
In this paper we study the estimation of a quantile function based on left truncated and right censo...
In this paper, we establish asymptotic normality of Powell's kernel estimator for the asymptoti...
Let be a response variable that is subject to left-truncation by a variable . We consider the proble...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator when...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator whe...
AbstractIn this paper, a representation due to Major and Rejtö for the Kaplan-Meier estimator is app...
We investigate the behavior of nonparametric kernel M-estimator in the presence of long-memory erro...
In this article, we summarize some quantile estimators and related bandwidth selection methods and g...
In this thesis, attention will be mainly focused on the local linear kernel regression quantile esti...
In this paper, we consider the kernel-type estimator of the quantile function based on the kernel sm...
Local kernel estimates and B-spline estimates are considered in the nonparametric regression and the...
1 We investigate the behavior of nonparametric kernel M-estimators in the presence of long-memory er...
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