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...
Saved in:
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!
|
Similar Items
-
Weighted Extropy for Concomitants of Upper k-Record Values Based on Huang–Kotz Morgenstern of Bivariate Distribution
by: M. Nagy, et al.
Published: (2023-01-01) -
Bivariate power Lomax Sarmanov distribution: Statistical properties, Reliability measures, and Parameter estimation
by: M.A. Abd Elgawad, et al.
Published: (2025-02-01) -
Data-driven upper bounds and event attribution for unprecedented heatwaves
by: Mark D. Risser, et al.
Published: (2025-03-01) -
Uncertainty analysis of varying inertia estimation based on Bayesian method
by: Dongdong Li, et al.
Published: (2025-04-01) -
Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective
by: Wanjoli, Paul, et al.
Published: (2025)