A Generalization of New Pareto-Type Distribution

Kadir Karakaya (), Yunus Akdoğan (), A. Saadati Nik (), Coşkun Kuş () and Akbar Asgharzadeh ()
Additional contact information
Kadir Karakaya: Selcuk University
Yunus Akdoğan: Selcuk University
A. Saadati Nik: University of Mazandaran
Coşkun Kuş: Selcuk University
Akbar Asgharzadeh: University of Mazandaran

Annals of Data Science, 2024, vol. 11, issue 1, No 4, 87-101

Abstract: Abstract In this paper, we propose a new generalization of Pareto distribution with a truncation parameter. Motivation is provided to generate the distribution. The shape of density and hazard functions are studied in mathematical detail. The raw moments are derived and stochastic ordering is also discussed. The parameter estimation is discussed through several estimators. A simulation study is conducted to compare the estimators. Three examples are provided with real data sets used in the literature.

Keywords: Monte Carlo simulation; Pareto distribution; Point estimation; Stochastic ordering (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-022-00376-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:aodasc:v:11:y:2024:i:1:d:10.1007_s40745-022-00376-x

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-022-00376-x

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().