This paper considers the estimator of the hazard function with censored data due to Diehl and Stute [1988, Kernel density and hazard function estimation in the presence of censoring. J. Multivariate Anal. 25, 299-310] Counting process martingal techniques are used to obtain three bounds for the error of the estimator considered, a mean-square bound, a probability bound and an bound of L-1-error. (C) 1999 Elsevier Science B.V. All rights reserved.Statistics & ProbabilitySCI(E)4ARTICLE4319-3264
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
The nonparametric estimation for the density and hazard rate functions for right-censored data using...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
Abstract. We consider random variables which can be subject to both censoring and measurement errors...
AbstractIn some long term studies, a series of dependent and possibly censored failure times may be ...
Kernel density estimator, right censorship, strong convergence, hazard rate estimator,
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
Progressive censoring is essential for researchers in industry as a mean to remove subjects before t...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
We propose new procedures for estimating the univariate quantities of interest in both additive and ...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
We consider kernel estimation of bivariate hazard, density and conditional covariance rate function ...
International audienceWe consider a failure hazard function, conditional on a time-independent covar...
AbstractRandomly censored data consist of i.i.d. pairs of observations (Xi,δi), i=1,…,n. If δi=0, Xi...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
The nonparametric estimation for the density and hazard rate functions for right-censored data using...
This paper considers the estimator of the hazard function with censored data due to Diehl and Stute ...
Abstract. We consider random variables which can be subject to both censoring and measurement errors...
AbstractIn some long term studies, a series of dependent and possibly censored failure times may be ...
Kernel density estimator, right censorship, strong convergence, hazard rate estimator,
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
Progressive censoring is essential for researchers in industry as a mean to remove subjects before t...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
We propose new procedures for estimating the univariate quantities of interest in both additive and ...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
We consider kernel estimation of bivariate hazard, density and conditional covariance rate function ...
International audienceWe consider a failure hazard function, conditional on a time-independent covar...
AbstractRandomly censored data consist of i.i.d. pairs of observations (Xi,δi), i=1,…,n. If δi=0, Xi...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
The nonparametric estimation for the density and hazard rate functions for right-censored data using...