We consider a fixed design model in which the responses are possibly right censored. The aim of this paper is to establish some important almost sure convergence properties of the Kaplan-Meier type estimator for the lifetime distribution at a given covariate value. We also consider the corresponding quantile estimator and obtain a modulus of continuity result. Our rates of uniform strong convergence are obtained via exponential probability bounds
AbstractIn the paper we prove rates of strong convergence of M-estimators for the parameters in a ge...
AbstractAssume that (Xi, Yi), 1 ≤ i ≤ n, are independent (p + 1)-variate vectors, where each Yi is a...
The main objective of this paper is to estimate non-parametrically the quantiles of a conditional d...
We consider a fixed design model in which the responses are possibly right censored. The aim of this...
It is assumed that in long term studies the lifetimes are positively (negatively) associated random ...
Consider a long term study, where a series of possibly censored failure times is observed. Suppose t...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
AbstractLet Fn and Gn denote the Kaplan-Meier product-limit estimators of lifetime distributions bas...
Let Fn and Gn denote the Kaplan-Meier product-limit estimators of lifetime distributions based on tw...
Based on right-censored data from a lifetime distribution, some important asymptotic properties of k...
Let Fn and Gn denote the usual Kaplan-11eier product-limit estimators of lifetime distributions base...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator whe...
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of stat...
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of stat...
Abstract. In the paper we prove strong consistency of estimators as solution of optimisation problem...
AbstractIn the paper we prove rates of strong convergence of M-estimators for the parameters in a ge...
AbstractAssume that (Xi, Yi), 1 ≤ i ≤ n, are independent (p + 1)-variate vectors, where each Yi is a...
The main objective of this paper is to estimate non-parametrically the quantiles of a conditional d...
We consider a fixed design model in which the responses are possibly right censored. The aim of this...
It is assumed that in long term studies the lifetimes are positively (negatively) associated random ...
Consider a long term study, where a series of possibly censored failure times is observed. Suppose t...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
AbstractLet Fn and Gn denote the Kaplan-Meier product-limit estimators of lifetime distributions bas...
Let Fn and Gn denote the Kaplan-Meier product-limit estimators of lifetime distributions based on tw...
Based on right-censored data from a lifetime distribution, some important asymptotic properties of k...
Let Fn and Gn denote the usual Kaplan-11eier product-limit estimators of lifetime distributions base...
In this thesis we study some asymptotic properties of the kernel conditional quantile estimator whe...
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of stat...
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of stat...
Abstract. In the paper we prove strong consistency of estimators as solution of optimisation problem...
AbstractIn the paper we prove rates of strong convergence of M-estimators for the parameters in a ge...
AbstractAssume that (Xi, Yi), 1 ≤ i ≤ n, are independent (p + 1)-variate vectors, where each Yi is a...
The main objective of this paper is to estimate non-parametrically the quantiles of a conditional d...