Bayesian and Non-Bayesian Estimation of the Nadaraj ah–Haghighi Distribution: Using Progressive Type-1 Censoring Scheme

Bayesian and Non-Bayesian Estimation of the Nadaraj ah–Haghighi Distribution: Using Progressive Type-1 Censoring Scheme

This work will address the problem of estimating the parameters for the Nadaraj ah–Haghighi (NH) distribution using progressive Type-1 censoring (PT1C) utilizing Bayesian and non-Bayesian approaches. To apply PT1C, censoring times for each stage of censoring needed to be known before the experiment...

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Bibliographic Details
Main Authors: Ibrahim Elbatal, Naif Alotaibi, Salem A. Alyami, Mohammed Elgarhy, Ahmed R. El-Saeed
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
progressive Type-1 censoring
Nadaraj ah–Haghighi distribution
Bayesian estimation
Markov Chain Monte Carlo
method of maximum likelihood
Online Access:https://www.mdpi.com/2227-7390/10/5/760

Internet

https://www.mdpi.com/2227-7390/10/5/760

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