Estimation of Parameters and Reliability Based on Unified Hybrid Censoring Schemes with an Application to COVID-19 Mortality Datasets

Estimation of Parameters and Reliability Based on Unified Hybrid Censoring Schemes with an Application to COVID-19 Mortality Datasets

This article presents maximum likelihood and Bayesian estimates for the parameters, reliability function, and hazard function of the Gumbel Type-II distribution using a unified hybrid censored sample. Bayesian estimates are derived under three loss functions: squared error, LINEX, and generalized en...

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Bibliographic Details
Main Authors: Mustafa M. Hasaballah, Mahmoud M. Abdelwahab, Khamis A. Al-Karawi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Axioms
Subjects:
unified hybrid censoring schemes
Gumbel Type-II distribution
frequentist estimation
Bayesian inference
COVID-19
Online Access:https://www.mdpi.com/2075-1680/14/6/460
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