Some results about varextropy and weighted varextropy functions

Fuente: arXiv
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Autore principale: Goodarzi, Faranak
Natura: Preprint
Pubblicazione: 2025
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author Goodarzi, Faranak
author_facet Goodarzi, Faranak
contents In this paper, we investigate several properties of the weighted varextropy measure and obtain it for specific distribution functions, such as the equilibrium and weighted distributions. We also obtain bounds for the weighted varextropy, as well as for weighted residual varextropy and weighted past varextropy. Additionally, we derive an expression for the varextropy of the lifetime of coherent systems. A new stochastic ordering, referred to as weighted varextopy orderind, is introduced, and some of its key properties are explored. Furtheremore, we propose two nonparametric estimators for the weighted varextropy function. A simulation study is conducted to evaluate the performance of these estimators in terms of mean squared error(MSE) and bias. Finally, we provide a characterization of the reciprocal distribution based on the weighted varextropy measure. Some tests for reciprocal distribution are constructed by using the proposed estimators and the powers of the tests are compared with the powers of Kolmogorov-Smirnov (KS) test. application to real data is also reported.
format Preprint
id arxiv_https___arxiv_org_abs_2506_22996
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Some results about varextropy and weighted varextropy functions
Goodarzi, Faranak
Statistics Theory
In this paper, we investigate several properties of the weighted varextropy measure and obtain it for specific distribution functions, such as the equilibrium and weighted distributions. We also obtain bounds for the weighted varextropy, as well as for weighted residual varextropy and weighted past varextropy. Additionally, we derive an expression for the varextropy of the lifetime of coherent systems. A new stochastic ordering, referred to as weighted varextopy orderind, is introduced, and some of its key properties are explored. Furtheremore, we propose two nonparametric estimators for the weighted varextropy function. A simulation study is conducted to evaluate the performance of these estimators in terms of mean squared error(MSE) and bias. Finally, we provide a characterization of the reciprocal distribution based on the weighted varextropy measure. Some tests for reciprocal distribution are constructed by using the proposed estimators and the powers of the tests are compared with the powers of Kolmogorov-Smirnov (KS) test. application to real data is also reported.
title Some results about varextropy and weighted varextropy functions
topic Statistics Theory
url https://arxiv.org/abs/2506.22996