Add to ORKGLet {Xn;n[greater-or-equal, slanted]0} be a sequence of negatively associated random variables and Un be a U-statistic based on this sample. We establish a central limit theorem for Un when the U-statistic is degenerate or non-degenerate.Negatively associated random variables Central limit theorem U-statistics Degenerate Non-degenerate
Abstract In this paper, we investigate the Berry-Esséen bound of the sample quantiles for the n...
AbstractLet {Xn, n⩾1} be a sequence of stationary negatively associated random variables, Sj(l)=∑li=...
"This paper is devoted to weak convergence of sums of negatively dependent random variables, we esta...
Let {Xn, n≥1} be a stationary sequence of associated random variables and Un be a U-statistic ...
Let {Xn, n≥1} be a stationary sequence of associated random variables and Un be a U-statistic ...
Let {Xn, n[greater-or-equal, slanted]1} be a sequence of stationary associated random variables. Let...
Let {Xn, n ≥ 1} be a sequence of stationary associated random variables. Let Un be a U-statist...
Let {Xn, n ≥ 1} be a sequence of stationary associated random variables. Let Un be a U-statist...
AbstractConsider the Kaplan–Meier estimate of the distribution function for right randomly censored ...
In this paper, the almost sure central limit theorem is established for sequences of negatively asso...
Asymmetric kernels are quite useful for the estimation of density functions with bounded support. Ga...
We prove the central limit theorem for U-statistics whose underlying sequence of random variables sa...
In this paper, we establish some new central limit theorems for generalized U-statistics of dependen...
Let [Xn, n1] be a sequence of stationary negatively associated random variables, Sj (l)= li=1 Xj+i,...
AbstractSen (1974) established multidimensional functional limit theorems for generalized U-statisti...
Abstract In this paper, we investigate the Berry-Esséen bound of the sample quantiles for the n...
AbstractLet {Xn, n⩾1} be a sequence of stationary negatively associated random variables, Sj(l)=∑li=...
"This paper is devoted to weak convergence of sums of negatively dependent random variables, we esta...
Let {Xn, n≥1} be a stationary sequence of associated random variables and Un be a U-statistic ...
Let {Xn, n≥1} be a stationary sequence of associated random variables and Un be a U-statistic ...
Let {Xn, n[greater-or-equal, slanted]1} be a sequence of stationary associated random variables. Let...
Let {Xn, n ≥ 1} be a sequence of stationary associated random variables. Let Un be a U-statist...
Let {Xn, n ≥ 1} be a sequence of stationary associated random variables. Let Un be a U-statist...
AbstractConsider the Kaplan–Meier estimate of the distribution function for right randomly censored ...
In this paper, the almost sure central limit theorem is established for sequences of negatively asso...
Asymmetric kernels are quite useful for the estimation of density functions with bounded support. Ga...
We prove the central limit theorem for U-statistics whose underlying sequence of random variables sa...
In this paper, we establish some new central limit theorems for generalized U-statistics of dependen...
Let [Xn, n1] be a sequence of stationary negatively associated random variables, Sj (l)= li=1 Xj+i,...
AbstractSen (1974) established multidimensional functional limit theorems for generalized U-statisti...
Abstract In this paper, we investigate the Berry-Esséen bound of the sample quantiles for the n...
AbstractLet {Xn, n⩾1} be a sequence of stationary negatively associated random variables, Sj(l)=∑li=...
"This paper is devoted to weak convergence of sums of negatively dependent random variables, we esta...