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Estimating the survival functions in a censored semi-competing risks model
Varying coefficients partially linear models with randomly censored data
A presmooth estimator of unbiased distributions with length-biased data
In this paper, we propose a presmooth product-limit estimator to draw statistical inference on the unbiased distribution function representing the population of interest. The strong consistency of the estimator proposed ...
Kaplan-Meier Estimator for Associated Random Variables Under Left Truncation and Right Censoring
It is assumed that in long term studies the lifetimes are positively (negatively) associated random
variables. Under some regular conditions, the strong convergence rates of Kaplan-Meier estimator
of marginal distribution function F...
Power conservation and security in Wireless Sensor Networks — A survey
Strong Gaussian Approximations of Product-Limit and Quantile Processes for Strong Mixing and Censored Data
In this article, we consider the product-limit quantile estimator of an unknown
quantile function under a censored dependent model. This is a parallel problem to
the estimation of the unknown distribution ...
The Bahadur representation for kernel-type estimator of the quantile function under strong mixing and censored data
In this paper, we consider the kernel-type estimator of the quantile function based on the
kernel smoother under a censored dependent model. The Bahadur-type representation of
the kernel smooth estimator is ...
Asymptotic Behaviors of the Lorenz Curve for Censored Data Under Strong Mixing
In this article, we consider a nonparametric estimator of the Lorenz curve under
censored dependent model. We show that this estimator is uniformly strongly
consistent for the associated Lorenz curve. Also, ...