An Analysis of Type-I Generalized Progressive Hybrid Censoring for the One Parameter Logistic-Geometry Lifetime Distribution with Applications

An Analysis of Type-I Generalized Progressive Hybrid Censoring for the One Parameter Logistic-Geometry Lifetime Distribution with Applications

Based on Type-I generalized progressive hybrid censored samples (GPHCSs), the parameter estimate for the unit-half logistic-geometry (UHLG) distribution is investigated in this work. Using maximum likelihood estimation (MLE) and Bayesian estimation, the parameters, reliability, and hazard functions...

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Bibliographic Details
Main Authors: Magdy Nagy, Mohamed Ahmed Mosilhy, Ahmed Hamdi Mansi, Mahmoud Hamed Abu-Moussa
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Axioms
Subjects:
type-I generalized progressive hybrid censoring
unit-half logistic-geometry distribution
maximum likelihood estimation
Bayesian estimation
Markov chain Monte Carlo
simulation study
Online Access:https://www.mdpi.com/2075-1680/13/10/692
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