Exponentiated generalized Ramos-Louzada distribution with properties and applications
Yazarlar (2)
Doç. Dr. Yasin ALTINIŞIK Sinop Üniversitesi, Türkiye
Prof. Dr. Emel ÇANKAYA Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
|
||
| Dergi Adı | Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics | ||
| Dergi ISSN | 1303-5991 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2024 |
| Cilt / Sayı / Sayfa | 73 / 1 / 76–103 | DOI | 10.31801/cfsuasmas.1147449 |
| Makale Linki | https://dergipark.org.tr/en/download/article-file/2552792 | ||
| UAK Araştırma Alanları |
Uygulamalı İstatistik
|
||
| Özet |
| In this paper, we propose a new generalization of Ramos-Louzada (RL) distribution based on two additional shape parameters. Along with the genesis of its distributional form, the derivation of cumulative density function (cdf), survival and hazard rate functions, the quantile function (qf), moments, moment generating function (mgf), Shannon and Renyi entropies, order statistics and a linear representation of the proposed distribution are inspected. Several estimation methods of the model parameters are discussed throughout two comprehensive simulation studies conducted to compare its performance against some lifetime distributions. Application of a real dataset is presented to illustrate the potentiality of this distribution in line with the simulation studies. |
| Anahtar Kelimeler |
| EGRL distribution | exponentiated generalized class | information criteria | Lifetime datasets | Ramos-Louzada distribution |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 3 |
| Google Scholar | 4 |