On the estimation of varextropy under complete data
Statistics Theory
2024-06-27 v1 Statistics Theory
Abstract
In this paper, we propose nonparametric estimators for varextropy function of an absolutely continuous random variable. Consistency of the estimators is established under suitable regularity conditions. Moreover, a simulation study is performed to compare the performance of the proposed estimators based on mean squared error (MSE) and bias. Furthermore, by using the proposed estimators some tests are constructed for uniformity. It is shown that the varextropybased test proposed here performs well compared to the power of the other uniformity hypothesis tests.
Cite
@article{arxiv.2406.18195,
title = {On the estimation of varextropy under complete data},
author = {F. Goodarzi and R. Zamini},
journal= {arXiv preprint arXiv:2406.18195},
year = {2024}
}