Scopus
YÖKSİS DOI Eşleşti
SJR Q1
A Generalization of New Pareto-Type Distribution
Annals of Data Science · Şubat 2024
YÖKSİS Kayıtları
A Generalization of New Pareto-Type Distribution
Annals of Data Science · 2024 Scopus
Doç. Dr. YUNUS AKDOĞAN →
A Generalization of New Pareto-Type Distribution
Annals of Data Science · 2024 Scopus
Doç. Dr. KADİR KARAKAYA →
A Generalization of New Pareto-Type Distribution
Annals of Data Science · 2024 MathSciNet
Prof. Dr. COŞKUN KUŞ →
A Generalization of New Pareto-Type Distribution
Annals of Data Science · 2022 EBSCO
Doç. Dr. YUNUS AKDOĞAN →
A Generalization of New Pareto-Type Distribution
Annals of Data Science · 2022 SCOPUS, CLOCKSS, CNKI, CNPIEC
Doç. Dr. YUNUS AKDOĞAN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
A Generalization of New Pareto-Type Distribution
2024 ISSN: 2198-5804 MathSciNet
Prof. Dr. COŞKUN KUŞ →
A Generalization of New Pareto-Type Distribution
2024 ISSN: 2198-5804 Scopus
Doç. Dr. KADİR KARAKAYA →
A Generalization of New Pareto-Type Distribution
2024 ISSN: 2198-5804 Scopus
Doç. Dr. YUNUS AKDOĞAN →
Makale Bilgileri
Dergi
Annals of Data Science
ISSN21985804
Yayın TarihiŞubat 2024
Cilt / Sayfa11 · 87-101
Scopus ID2-s2.0-85127523112
Özet
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.
Yazarlar (5)
1
Kadir Karakaya
2
Yunus Akdoğan
3
A. Saadati Nik
4
Coşkun Kuş
5
Akbar Asgharzadeh
Anahtar Kelimeler
Monte Carlo simulation
Pareto distribution
Point estimation
Stochastic ordering
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
University of Mazandaran
Babolsar Iran
Scimago Dergi (ISSN Eşleşmesi)
Annals of Data Science
Q1
SJR Skoru0,866
H-Index38
YayıncıSpringer Science and Business Media Deutschland GmbH
ÜlkeGermany
Business, Management and Accounting (miscellaneous) (Q1)
Artificial Intelligence (Q2)
Computer Science Applications (Q2)
Statistics, Probability and Uncertainty (Q2)
Metrikler
1
Atıf
5
Yazar
4
Anahtar Kelime