Title of article :
Nonparametric estimators for varextropy under alpha-mixing condition with appliction in exponential AR(1) model
Author/Authors :
Zamini ، Raheleh Department of Mathematics - Faculty of Mathematical Sciences and Computer - Kharazmi University , Goodarzi ، Faranak Department of Statistics - Faculty of Mathematical Sciences - University of Kashan , Salimi ، Mohamad Department of Mathematics - Faculty of Mathematical Sciences and Computer - Kharazmi University
Abstract :
The goal of this paper is to study the problem of estimation of varextropy function under alpha-mixing dependence condition. We propose nonparametric estimators for varextropy, residual varextropy and past varextropy. Asymptotic properties of the proposed estimators are investigated under regularity conditions. Moreover, the comparison of the proposed estimators for varextropy in terms of the bias and mean squared error has been done by Monte Carlo method. Furthermore, a real data example is presented.
Keywords :
Asymptotic properties , Strong mixing , Varextropy function , Kernel estimator , Simulation
Journal title :
Journal of Mahani Mathematical Research Center
Journal title :
Journal of Mahani Mathematical Research Center