Extropy estimation of Weibull distribution under upper records

Recently, extropy has gained interest by the academic researchers. This work explores the features of parametric and non-parametric estimators based on upper record values under the a two-parameter Weibull distribution. We apply the Markov Chain Monte Carlo (MCMC) method to provide a Bayesian estim...

Full description

Saved in:
Bibliographic Details
Main Author: Nour El Houda Zouaoui
Format: Article
Language:English
Published: Universidade Federal de Viçosa (UFV) 2023-12-01
Series:The Journal of Engineering and Exact Sciences
Subjects:
Online Access:https://periodicos.ufv.br/jcec/article/view/19490
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832569715414794240
author Nour El Houda Zouaoui
author_facet Nour El Houda Zouaoui
author_sort Nour El Houda Zouaoui
collection DOAJ
description Recently, extropy has gained interest by the academic researchers. This work explores the features of parametric and non-parametric estimators based on upper record values under the a two-parameter Weibull distribution. We apply the Markov Chain Monte Carlo (MCMC) method to provide a Bayesian estimator. A considerable number of theoretical properties of the procedures are determined.
format Article
id doaj-art-2fd80e598d8d4444bf9502d6a4921902
institution Kabale University
issn 2527-1075
language English
publishDate 2023-12-01
publisher Universidade Federal de Viçosa (UFV)
record_format Article
series The Journal of Engineering and Exact Sciences
spelling doaj-art-2fd80e598d8d4444bf9502d6a49219022025-02-02T19:54:25ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752023-12-0191210.18540/jcecvl9iss12pp19490Extropy estimation of Weibull distribution under upper recordsNour El Houda Zouaoui0Laboratory of Applied Mathematics, Mathematics Department, Biskra University, Algeria Recently, extropy has gained interest by the academic researchers. This work explores the features of parametric and non-parametric estimators based on upper record values under the a two-parameter Weibull distribution. We apply the Markov Chain Monte Carlo (MCMC) method to provide a Bayesian estimator. A considerable number of theoretical properties of the procedures are determined. https://periodicos.ufv.br/jcec/article/view/19490ExtropyUpper recordBayesian estimation Resumo
spellingShingle Nour El Houda Zouaoui
Extropy estimation of Weibull distribution under upper records
The Journal of Engineering and Exact Sciences
Extropy
Upper record
Bayesian estimation Resumo
title Extropy estimation of Weibull distribution under upper records
title_full Extropy estimation of Weibull distribution under upper records
title_fullStr Extropy estimation of Weibull distribution under upper records
title_full_unstemmed Extropy estimation of Weibull distribution under upper records
title_short Extropy estimation of Weibull distribution under upper records
title_sort extropy estimation of weibull distribution under upper records
topic Extropy
Upper record
Bayesian estimation Resumo
url https://periodicos.ufv.br/jcec/article/view/19490
work_keys_str_mv AT nourelhoudazouaoui extropyestimationofweibulldistributionunderupperrecords