For left truncated and right censored model. let F-n be the product-limit estimate and phi a nonnegative measurable function. The almost sure limits of the cumulative hazard function based on F-n and the integral integral phi dF(n) are given. The results are useful in establishing strong consistent results of various estimates. For left truncated data, similar results were obtained in literature.Mathematics, AppliedMathematicsSCI(E)EI0ARTICLE101253-12604
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
Abstract: An Edgeworth expansion for the distribution function of the product-limit estimator of sur...
For the model with both left truncation and right censoring, suppose all the distributions are conti...
It is shown that the product limit estimator Fn of a continuous distribution function F based on the...
It is shown that the product limit estimator F-n of a continuous distribution function F based on th...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
AbstractIn this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution fu...
The problem of estimating the distribution of a lifetime when data may be leftor right censored is c...
Abstract. The problem of estimating the distribution of a lifetime when data may be left or right ce...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
Some almost sure representations are obtained for the TJW product-limit estimator of a distribution ...
The random truncation model is defined by the conditional probability distribution H(x, y) = P[X les...
The problem of estimating the distribution of a lifetime that may be left or right censored is consi...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
Abstract: An Edgeworth expansion for the distribution function of the product-limit estimator of sur...
For the model with both left truncation and right censoring, suppose all the distributions are conti...
It is shown that the product limit estimator Fn of a continuous distribution function F based on the...
It is shown that the product limit estimator F-n of a continuous distribution function F based on th...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
AbstractIn this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution fu...
The problem of estimating the distribution of a lifetime when data may be leftor right censored is c...
Abstract. The problem of estimating the distribution of a lifetime when data may be left or right ce...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
Some almost sure representations are obtained for the TJW product-limit estimator of a distribution ...
The random truncation model is defined by the conditional probability distribution H(x, y) = P[X les...
The problem of estimating the distribution of a lifetime that may be left or right censored is consi...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
We prove functional limit laws for the increment functions of empirical processes based upon randoml...
Abstract: An Edgeworth expansion for the distribution function of the product-limit estimator of sur...