The problem of estimating the distribution of a lifetime that may be left or right censored is considered. Two data structures that extend the classical current-status data framework are introduced and the corresponding product-limit estimators are derived. The strong uniform convergence and asymptotic normality of the product-limit estimators are proved. A bootstrap procedure that can be applied to confidence intervals construction is proposed
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
The Kaplan--Meier estimator of a survival function is used when cause of failure (censored or non-ce...
AbstractThe product limit estimator is arguably the most popular method of estimating survival proba...
Abstract. The problem of estimating the distribution of a lifetime when data may be left or right ce...
The problem of estimating the distribution of a lifetime when data may be leftor right censored is c...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
In some long-term studies, a series of dependent and possibly truncated lifetimes may be observed. S...
Abstract: An Edgeworth expansion for the distribution function of the product-limit estimator of sur...
The product-limit estimator is shown to be a strongly uniformly consistent estimator of the distribu...
AbstractIn this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution fu...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
It is shown that the product limit estimator Fn of a continuous distribution function F based on the...
Consider the uniform consistency of the product-limit estimator of survival function with censored d...
The product-limit estimator under left truncation and right censoring was first proposed and shown t...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
The Kaplan--Meier estimator of a survival function is used when cause of failure (censored or non-ce...
AbstractThe product limit estimator is arguably the most popular method of estimating survival proba...
Abstract. The problem of estimating the distribution of a lifetime when data may be left or right ce...
The problem of estimating the distribution of a lifetime when data may be leftor right censored is c...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
In some long-term studies, a series of dependent and possibly truncated lifetimes may be observed. S...
Abstract: An Edgeworth expansion for the distribution function of the product-limit estimator of sur...
The product-limit estimator is shown to be a strongly uniformly consistent estimator of the distribu...
AbstractIn this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution fu...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
It is shown that the product limit estimator Fn of a continuous distribution function F based on the...
Consider the uniform consistency of the product-limit estimator of survival function with censored d...
The product-limit estimator under left truncation and right censoring was first proposed and shown t...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
The Kaplan--Meier estimator of a survival function is used when cause of failure (censored or non-ce...
AbstractThe product limit estimator is arguably the most popular method of estimating survival proba...