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RISNonparametric density estimation based on the truncated mean
Bootstrapping the nonparametric ARCH regression model
Kernel density estimation under negative superadditive dependence and its application for real data
In this paper, the kernel density estimator for negatively superadditive dependent random variables is studied. The exponential
inequalities and the exponential rate for the kernel estimator of density function with a uniform version, over...
Convergence Rate for Estimator of Distribution Function under NSD Assumption with an Application
In this paper, the kernel distribution function estimator for negative super-
additive dependent (NSD) random variables is studied. The exponential inequalities
and exponential rate for the kernel estimator are investigated. Under certain...
Asymptotic behaviour of kernel density estimator under negative superadditive dependence
In this paper, asymptotic behaviour of kernel density estimator for negatively superadditive dependent random variables is studied. Also, the exponential inequalities and exponential
rate for the kernel estimator of density function with a...
Kernel Distribution Function Estimation Under Negative Superadditive Dependence
In this paper, the kernel distribution function estimator for negatively superadditive
dependent random variables is studied. The exponential inequalities and exponential rate
for the kernel estimator of distribution function...