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Rayleigh Gamma gompertz distribution: Properties and applications.

Authors :
Al-Noor, Nadia Hashim
Assi, Noor Kareem
Cakalli, Huseyin
Kocinac, Ljubisa D. R.
Ashyralyev, Allaberen
Harte, Robin
Dik, Mehmet
Canak, Ibrahim
Kandemir, Hacer Sengul
Tez, Mujgan
Gurtug, Ozay
Savas, Ekrem
Akay, Kadri Ulas
Ucgun, Filiz Cagatay
Uyaver, Sahin
Ashyralyyev, Charyyar
Sezer, Sefa Anil
Turkoglu, Arap Duran
Onvural, Oruc Raif
Sahin, Hakan
Source :
AIP Conference Proceedings. 2020, Vol. 2334 Issue 1, p1-4. 4p.
Publication Year :
2020

Abstract

In this paper, Rayleigh Gamma Gompertz (RGGom), as a new compound distribution, is introduced. Various fundamental statistical properties of RGGom distribution, including explicit expressions for the non-central rth moment, characteristic function, quantile function and simulated data, Shannon and relative entropies, and reliability stress strength model, were studied and inspected. The unknown parameters of RGGom have been estimated using the estimation method of maximum likelihood. Furthermore, the RGGom distribution is applied upon a simulation study and two real-life data sets to assess its usefulness and flexibility. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2334
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
149021825
Full Text :
https://doi.org/10.1063/5.0042207