Add to ORKGThis 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 -error.Counting process Hazard function Random censorship
In this paper, we study a smooth estimator of the conditional hazard rate function in the censorship...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
We propose new procedures for estimating the univariate quantities of interest in both additive and ...
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 ...
AbstractThe data consists of multivariate failure times under right random censorship. By the kernel...
Kernel density estimator, right censorship, strong convergence, hazard rate estimator,
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
Assuming that X1, ..., Xn is a random sample of lifetimes from a distribution with density [latin sm...
Progressive censoring is essential for researchers in industry as a mean to remove subjects before t...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
Hazard function estimation is an important part of survival analysis. Interest often centers on esti...
In this thesis, we look into estimation of probability distribution for censored data. These data ar...
In this paper, we study a smooth estimator of the conditional hazard rate function in the censorship...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
We propose new procedures for estimating the univariate quantities of interest in both additive and ...
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 ...
AbstractThe data consists of multivariate failure times under right random censorship. By the kernel...
Kernel density estimator, right censorship, strong convergence, hazard rate estimator,
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
Let (X, Y) be a random vector, where Y denotes the variable of interest, possibly subject to random ...
Assuming that X1, ..., Xn is a random sample of lifetimes from a distribution with density [latin sm...
Progressive censoring is essential for researchers in industry as a mean to remove subjects before t...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
Hazard function estimation is an important part of survival analysis. Interest often centers on esti...
In this thesis, we look into estimation of probability distribution for censored data. These data ar...
In this paper, we study a smooth estimator of the conditional hazard rate function in the censorship...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
We propose new procedures for estimating the univariate quantities of interest in both additive and ...