We derive asymptotic confidence bands for the quantile function F1 in the random censorship model. As a key tool we use the Chibisov-O'Reilly theorem for the product-limit process instead of a central limit theorem for the product-limit quantile process. This reduces the assumptions on F to only continuity
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
summary:Stochastic optimization problem is, as a rule, formulated in terms of expected cost function...
We derive asymptotic confidence bands for the quantile function F1 in the random censorship model. A...
AbstractThe quantile process of the product-limit estimator (PL-quantile process) in the random cens...
Let ( X1 , Y 1), …, ( X, Y ) be independent and identically distributed random variables and let l (...
A shortt of a one dimensional probability distribution is defined to be an interval which has at lea...
Several types of asymptotic confidence bands have been proposed in the literature when the data are ...
The paper presents the asymptotic properties of semiparametric estimates of the quantile function an...
Censored data, Kaplan-Meier estimate, fixed-width confidence band, sequential estimation,
In the random censorship from the right model, strong and weak limit theorems for Bahadur-Kiefer typ...
A shortt of a one dimensional probability distribution is defined to be an interval which has at lea...
A description of the weak and strong limiting behaviour of weighted uniform tail empirical and tail ...
AbstractUnder the random censorship model from the right, we construct confidence bands for the (1 −...
Suppose that we observe bivariate data (Xi, Yi) only when Yi ≤ Xi (left truncation). Denote with F t...
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
summary:Stochastic optimization problem is, as a rule, formulated in terms of expected cost function...
We derive asymptotic confidence bands for the quantile function F1 in the random censorship model. A...
AbstractThe quantile process of the product-limit estimator (PL-quantile process) in the random cens...
Let ( X1 , Y 1), …, ( X, Y ) be independent and identically distributed random variables and let l (...
A shortt of a one dimensional probability distribution is defined to be an interval which has at lea...
Several types of asymptotic confidence bands have been proposed in the literature when the data are ...
The paper presents the asymptotic properties of semiparametric estimates of the quantile function an...
Censored data, Kaplan-Meier estimate, fixed-width confidence band, sequential estimation,
In the random censorship from the right model, strong and weak limit theorems for Bahadur-Kiefer typ...
A shortt of a one dimensional probability distribution is defined to be an interval which has at lea...
A description of the weak and strong limiting behaviour of weighted uniform tail empirical and tail ...
AbstractUnder the random censorship model from the right, we construct confidence bands for the (1 −...
Suppose that we observe bivariate data (Xi, Yi) only when Yi ≤ Xi (left truncation). Denote with F t...
We propose a way to estimate a parametric quantile function when the dependent variable, e.g. the su...
The main objective of this paper is to non-parametrically estimate the quantiles of a conditional di...
summary:Stochastic optimization problem is, as a rule, formulated in terms of expected cost function...
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