Computational Analysis of XLindley Parameters Using Adaptive Type-II Progressive Hybrid Censoring with Applications in Chemical Engineering

Computational Analysis of XLindley Parameters Using Adaptive Type-II Progressive Hybrid Censoring with Applications in Chemical Engineering

This work addresses the estimation issues of the XLindley distribution using an adaptive Type-II progressive hybrid censoring scheme. Maximum likelihood and Bayesian approaches are used to estimate the unknown parameter, reliability, and hazard rate functions. Bayesian estimators are explored under...

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Bibliographic Details
Main Authors: Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Mathematics
Subjects:
XLindley distribution
adaptive progressive hybrid censoring
Monte Carlo simulation
maximum likelihood
Bayesian estimation
reliability function
Online Access:https://www.mdpi.com/2227-7390/10/18/3355

Internet

https://www.mdpi.com/2227-7390/10/18/3355

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