Add to ORKGThis paper develops a consistent test for the correct hazard rate specification within the context of random right hand censoring of the dependent variable. The test is based on comparing a parametric estimate with a kernel estimate of the hazard rate. We establish the asymptotic distribution of the test statistic under the null hypothesis of correct parametric specification of the hazard rate and establish the consistency of the test
The aim of this work is to study the asymptotic distribution of the Cramér-von Mises (C-vM) statisti...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
In this paper, we are concerned with nonparametric estimation of the multivariate regression functio...
In this paper, we study a smooth estimator of the conditional hazard rate function in the censorship...
AbstractIn some long term studies, a series of dependent and possibly censored failure times may be ...
Consider a regression model in which the responses are subject to random right censoring. In this mo...
Assuming that X1, ..., Xn is a random sample of lifetimes from a distribution with density [latin sm...
AbstractThe data consists of multivariate failure times under right random censorship. By the kernel...
AbstractWe consider the competing risks model with grouped data or with discrete Failure times where...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
SUMMARY: Left truncation and right censoring arise frequently in practice for life data. This paper ...
We consider the competing risks model with grouped data or with discrete Failure times where a unit ...
International audienceIn this paper, we study an estimation problem where the variables of interest ...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
In this paper, two types of kernel based estimators of hazard rate under left truncation and right c...
The aim of this work is to study the asymptotic distribution of the Cramér-von Mises (C-vM) statisti...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
In this paper, we are concerned with nonparametric estimation of the multivariate regression functio...
In this paper, we study a smooth estimator of the conditional hazard rate function in the censorship...
AbstractIn some long term studies, a series of dependent and possibly censored failure times may be ...
Consider a regression model in which the responses are subject to random right censoring. In this mo...
Assuming that X1, ..., Xn is a random sample of lifetimes from a distribution with density [latin sm...
AbstractThe data consists of multivariate failure times under right random censorship. By the kernel...
AbstractWe consider the competing risks model with grouped data or with discrete Failure times where...
This note presents an estimator of the hazard rate function based on right censored data. A collecti...
SUMMARY: Left truncation and right censoring arise frequently in practice for life data. This paper ...
We consider the competing risks model with grouped data or with discrete Failure times where a unit ...
International audienceIn this paper, we study an estimation problem where the variables of interest ...
Let X be the variable of interest with distribution function F, hazard function $\lambda$ and Y be a...
In this paper, two types of kernel based estimators of hazard rate under left truncation and right c...
The aim of this work is to study the asymptotic distribution of the Cramér-von Mises (C-vM) statisti...
I am also organizing a session on Risk Analysis in the Biomedical and Environmental FieldInternation...
In this paper, we are concerned with nonparametric estimation of the multivariate regression functio...