On Weibull-Pareto Distribution in Censored and Uncensored Data Structures

Kamil Alakuş () and Necati Alp Erilli ()
Additional contact information
Kamil Alakuş: 19 Mayis University, Faculty of Arts and Sciences, Department of Statistics, Samsun, Turkey
Necati Alp Erilli: 1Sivas Cumhuriyet University, Faculty of Economics and Administrative Sciences, Department of Econometrics, Sivas, Turkey

EKOIST Journal of Econometrics and Statistics, 2020, vol. 0, issue 33, 1-11

Abstract: The Weibull distribution gives a flexible measurement that details the probability distribution associated with the lifetime characteristics of a particular part or service component. It is commonly used to assess product reliability, analyze life data, and model failure times. It is a versatile distribution that can take on the characteristics of other types of distributions, based on the value of the shape parameter. Weibull-Pareto distribution has been introduced as a new type of application of the Weibull distribution. In this article, it is investigated point and interval estimation for Weibull-Pareto distribution with censored and uncensored data. With real-time data applications, it is showed that Weibull-Pareto results are clearly better against Exponential, Gamma, and Weibull distributions results.

Keywords: Weibull-Pareto distribution; Alternative maximum likelihood estimation; T-X family; Weibull distribution (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/F84192B6A15740F29E404003C16CCDFC (application/pdf)
https://iupress.istanbul.edu.tr/en/journal/ekoist/ ... ored-data-structures (text/html)

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:ist:ekoist:v:0:y:2020:i:33:p:1-11

DOI: 10.26650/ekoist.2020.33.810417

Access Statistics for this article

EKOIST Journal of Econometrics and Statistics is currently edited by Aycan HEPSAĞ

More articles in EKOIST Journal of Econometrics and Statistics from Istanbul University, Faculty of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Istanbul University Press Operational Team (Ertuğrul YAŞAR) ().