Add to ORKGIn the paper, the empirical process in informative model of random censorship from both sides is investigated. For it, the limit Gaussian process with mean zero is founded. Under investigating of empirical process, the characterization properties of the considered informative model is used. The properties of the semiparametric estimator by using methods of numerical modeling are discussed
The local behavior of oscillation modulus of the product-limit (PL) process and the cumulative hazar...
AbstractMotivated by the analysis of linear rank estimators and the Buckley-James nonparametric EM e...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
The paper presents the asymptotic properties of semiparametric estimates of the quantile function an...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
summary:The paper gives some basic ideas of both the construction and investigation of the propertie...
Let denote the m.l.e. of the survival function SX(t) based on the right censored data (Z1,[delta]1),...
AbstractIn the random censorship from the right model, we prove a strong approximation result for th...
This paper presents a goodness-of-fit test for a semiparametric random censorship model proposed by ...
In the random censorship from the right model, strong and weak limit theorems for Bahadur-Kiefer typ...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
AbstractWe study the asymptotic behavior of the empirical distribution function and the empirical pr...
Paper is devoted to investigating classical normalized empirical process of independence. Processes ...
The local behavior of oscillation modulus of the product-limit (PL) process and the cumulative hazar...
AbstractMotivated by the analysis of linear rank estimators and the Buckley-James nonparametric EM e...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...
The paper presents the asymptotic properties of semiparametric estimates of the quantile function an...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
Necessary and sufficient conditions for weak and strong convergence are derived for the weighted ver...
summary:The paper gives some basic ideas of both the construction and investigation of the propertie...
Let denote the m.l.e. of the survival function SX(t) based on the right censored data (Z1,[delta]1),...
AbstractIn the random censorship from the right model, we prove a strong approximation result for th...
This paper presents a goodness-of-fit test for a semiparametric random censorship model proposed by ...
In the random censorship from the right model, strong and weak limit theorems for Bahadur-Kiefer typ...
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
AbstractWe study the asymptotic behavior of the empirical distribution function and the empirical pr...
Paper is devoted to investigating classical normalized empirical process of independence. Processes ...
The local behavior of oscillation modulus of the product-limit (PL) process and the cumulative hazar...
AbstractMotivated by the analysis of linear rank estimators and the Buckley-James nonparametric EM e...
The empirical process theory is a main topic is statistics, since it is involved in most of the gene...