Extropy estimation of Weibull distribution under upper records

Authors

  • Nour El Houda Zouaoui Laboratory of Applied Mathematics, Mathematics Department, Biskra University, Algeria

DOI:

https://doi.org/10.18540/jcecvl9iss12pp19490

Keywords:

Extropy, Upper record, Bayesian estimation Resumo

Abstract

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.

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Published

2023-12-12

How to Cite

Zouaoui, N. E. H. (2023). Extropy estimation of Weibull distribution under upper records. The Journal of Engineering and Exact Sciences, 9(12), 19490. https://doi.org/10.18540/jcecvl9iss12pp19490

Issue

Section

General Articles