For the model with both left truncation and right censoring, suppose all the distributions are continuous. It is proved that the sampled cumulative hazard function Lambda(n) and the product-limit estimate F-n are strong consistent. For any nonnegative measurable phi, the almost sure convergences of integral phi d Lambda(n) and integral phi dF(n) to the true values integral phi d Lambda and integral phi dF respectively are obtained. The strong consistency of the estimator for the truncation probability is proved.MathematicsSCI(E)中国科学引文数据库(CSCD)1ARTICLE3341-3481
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
Some almost sure representations are obtained for the TJW product-limit estimator of a distribution ...
For left truncated and right censored model. let F-n be the product-limit estimate and phi a nonnega...
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...
The random truncation model is defined by the conditional probability distribution H(x, y) = P[X les...
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...
Under random truncation, a pair of independent random variables X and Y is observable only if X is l...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
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...
AbstractIn this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution fu...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
Some almost sure representations are obtained for the TJW product-limit estimator of a distribution ...
For left truncated and right censored model. let F-n be the product-limit estimate and phi a nonnega...
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...
The random truncation model is defined by the conditional probability distribution H(x, y) = P[X les...
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...
Under random truncation, a pair of independent random variables X and Y is observable only if X is l...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
AbstractA strong i.i.d. representation is obtained for the product-limit estimator of the survival f...
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...
AbstractIn this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution fu...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
Let X be a d-variate random vector that is completely observed, and let Y be a random variable that ...
Some almost sure representations are obtained for the TJW product-limit estimator of a distribution ...