The Weibull Generalized Exponential Distribution with Censored Sample: Estimation and Application on Real Data

Hisham M. Almongy, Ehab M. Almetwally, Randa Alharbi, Dalia Alnagar, E. H. Hafez, Marwa M. Mohie El-Din and Ahmed Mostafa Khalil

Complexity, 2021, vol. 2021, 1-15

Abstract: This paper is concerned with the estimation of the Weibull generalized exponential distribution (WGED) parameters based on the adaptive Type-II progressive (ATIIP) censored sample. Maximum likelihood estimation (MLE), maximum product spacing (MPS), and Bayesian estimation based on Markov chain Monte Carlo (MCMC) methods have been determined to find the best estimation method. The Monte Carlo simulation is used to compare the three methods of estimation based on the ATIIP-censored sample, and also, we made a bootstrap confidence interval estimation. We will analyze data related to the distribution about single carbon fiber and electrical data as real data cases to show how the schemes work in practice.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://downloads.hindawi.com/journals/complexity/2021/6653534.pdf (application/pdf)
http://downloads.hindawi.com/journals/complexity/2021/6653534.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:6653534

DOI: 10.1155/2021/6653534

Access Statistics for this article

More articles in Complexity from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().