ON ASYMPTOTIC NORMALITY OF THE KERNEL ESTIMATOR FOR NEGATIVELY DEPENDENT RANDOM VARIABLES
In this paper, we establish the asymptotic normality of the kernel estimator for negatively dependent random variables. The kernel estimator has been widely applied for independent data. However, in practice, the data are most often dependent.
density, negatively dependent, weighted sums, asymptotic normality, kernel estimator
Received: August 23, 2024; Revised: October 3, 2024; Accepted: October 10, 2024; Published: October 17, 2024
How to cite this article: Aminata GNING, Mouhamed Mar and Saliou DIOUF, On asymptotic normality of the kernel estimator for negatively dependent random variables, Far East Journal of Theoretical Statistics 68(3) (2024), 373-383. https://doi.org/10.17654/0972086324020
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