Add to ORKGBased on right-censored data from a lifetime distribution, some important asymptotic properties of kernel-type estimators of the quantile function are presented, including asymptotic normality and mean-square convergence (with a rate).smooth nonparametric quantile estimation random censorship asymptotic normality mean square convergence
Let be a response variable that is subject to left-truncation by a variable . We consider the proble...
Asymptotic normality, Long memory time series, Quantile estimation, Strong consistency, 62M10, 62G05...
The paper introduces an estimator for the linear censored quantile regression model when the censori...
In this paper we investigate the asymptotic properties of two types of kernel estimators for the qua...
In this paper we study the estimation of a quantile function based on left truncated and right censo...
AbstractIn this paper, a representation due to Major and Rejtö for the Kaplan-Meier estimator is app...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator when...
The paper presents the asymptotic properties of semiparametric estimates of the quantile function an...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator whe...
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
Strong uniform convergence, Asymptotic normality, Censored data, α-mixing sequence, Conditional quan...
It is of great interest to estimate quantile residual lifetime in medical science and many other fie...
This article proposes a simple nonparametric estimator of quantile residual lifetime function under ...
We propose a censored quantile regression estimator motivated by unbiased estimating equations. Unde...
Let be a response variable that is subject to left-truncation by a variable . We consider the proble...
Asymptotic normality, Long memory time series, Quantile estimation, Strong consistency, 62M10, 62G05...
The paper introduces an estimator for the linear censored quantile regression model when the censori...
In this paper we investigate the asymptotic properties of two types of kernel estimators for the qua...
In this paper we study the estimation of a quantile function based on left truncated and right censo...
AbstractIn this paper, a representation due to Major and Rejtö for the Kaplan-Meier estimator is app...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator when...
The paper presents the asymptotic properties of semiparametric estimates of the quantile function an...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator whe...
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
Strong uniform convergence, Asymptotic normality, Censored data, α-mixing sequence, Conditional quan...
It is of great interest to estimate quantile residual lifetime in medical science and many other fie...
This article proposes a simple nonparametric estimator of quantile residual lifetime function under ...
We propose a censored quantile regression estimator motivated by unbiased estimating equations. Unde...
Let be a response variable that is subject to left-truncation by a variable . We consider the proble...
Asymptotic normality, Long memory time series, Quantile estimation, Strong consistency, 62M10, 62G05...
The paper introduces an estimator for the linear censored quantile regression model when the censori...