Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q3
A new distribution with four parameters: Properties and applications
Sigma Journal of Engineering and Natural Sciences · Nisan 2023
YÖKSİS Kayıtları
A new distribution with four parameters: Properties and applications
Sigma Journal of Engineering and Natural Sciences · 2023 ESCI
Prof. Dr. İSMAİL KINACI →
A new distribution with four parameters: Properties and applications
Sigma Journal of Engineering and Natural Sciences · 2023 ESCI
Doç. Dr. KADİR KARAKAYA →
A new distribution with four parameters: Properties and applications
Sigma Journal of Engineering and Natural Sciences · 2023 ESCI
Prof. Dr. COŞKUN KUŞ →
A new distribution with four parameters: Properties and applications
Sigma Journal of Engineering and Natural Sciences · 2023 ESCI
Doç. Dr. YUNUS AKDOĞAN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
ESTIMATION OF PARAMETER FOR INVERSE RAYLEIGH DISTRIBUTION UNDER TYPE-I HYBRID CENSORED SAMPLES
2020 ISSN: 1304-7191 ESCI
Doç. Dr. YUNUS AKDOĞAN →
Tribological behavior of epoxy nanocomposites under corrosive environment: effect of high-performance boron nitride nanoplatelet
2022 ISSN: 1304-7191 Emerging Sources Citation Index (ESCI), EBSCO Host Online Research Databases, Directory of Open Access Journals (DOAJ)
Doç. Dr. HASAN ULUS →
A new distribution with four parameters: Properties and applications
2023 ISSN: 1304-7191 ESCI
Doç. Dr. KADİR KARAKAYA →
A new distribution with four parameters: Properties and applications
2023 ISSN: 1304-7191 ESCI
Prof. Dr. COŞKUN KUŞ →
A new distribution with four parameters: Properties and applications
2023 ISSN: 1304-7191 ESCI
Prof. Dr. İSMAİL KINACI →
Makale Bilgileri
ISSN13047191
Yayın TarihiNisan 2023
Cilt / Sayfa41 · 276-287
Scopus ID2-s2.0-85165349931
Erişim🔓 Açık Erişim
Özet
In this paper, a new lifetime distribution called compounded geometric-mixture exponential distribution is proposed by compounding the mixture exponential and geometric distributions. Some properties of the new distribution such as survival function, hazard function, moments, Lorenz and Bonferroni curves, etc. are obtained. The estimations of four parameters of the new model are studied by several methods. A Monte Carlo simulation study is performed to understand the behavior of estimators. Two real data applications are also provided.
Yazarlar (4)
1
Kadir Karakaya
2
İsmail Kınacı
3
Coşkun Kuş
4
Yunus Akdoğan
Anahtar Kelimeler
Compound Distributions
Estimation
Geometric Distribution
Mixture Exponential Distribution
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Sigma Journal of Engineering and Natural Sciences
Q3
OA
SJR Skoru0,206
H-Index16
YayıncıYildiz Technical University
ÜlkeTurkey
Engineering (miscellaneous) (Q3)
Computational Mechanics (Q4)
Energy (miscellaneous) (Q4)
Mechanics of Materials (Q4)