A new modified cubic transmuted-G family of distributions: Properties and different methods of estimation with applications to real-life data

被引：10

作者：

Rahman, Md. Mahabubur ^{[1
]}

Gemeay, Ahmed M. ^{[2
]}

Khan, Md. Awwal Islam ^{[1
]}

Meraou, Mohammed Amine ^{[3
]}

Bakr, M. E. ^{[4
]}

Muse, Abdisalam Hassan ^{[5
]}

Hussam, Eslam ^{[6
]}

Balogun, Oluwafemi Samson ^{[7
]}

机构：

[1] Islamic Univ, Dept Stat, Khulna 7003, Bangladesh

[2] Tanta Univ, Fac Sci, Dept Math, Tanta 31527, Egypt

[3] Univ Djillali Liabes Sidi Bel Abbes, Lab Stat & Stochast Proc, BP 89, Sidi Bel Abbes 22000, Algeria

[4] King Saud Univ, Coll Sci, Dept Stat & Operat Res, POB 2455, Riyadh 11451, Saudi Arabia

[5] Amoud Univ, Fac Sci & Humanities, Sch Postgrad Studies & Res SPGSR, Borama 25263, Somalia

[6] Helwan Univ, Fac Sci, Dept Math, Cairo, Egypt

[7] Univ Eastern Finland, Dept Comp, FI-70211 Kuopio, Finland

来源：

AIP ADVANCES | 2023年 / 13卷 / 09期

关键词：

Compendex;

D O I：

10.1063/5.0170178

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Generating new statistical models is one of the most commonly used methods to represent real-life occurrences. Sometimes, with a known distribution, it may not be possible to represent a scenario, so we may consider generalization to incorporate more variance in the data. In this article, we offer a modified cubic transmuted-G family of distributions to enrich the members of the second-order transmuted distributions. By utilizing this modified class of distributions, we build a new distribution entitled the modified cubic transmuted Rayleigh distribution, along with its distributional features, estimate, associated inference, and real-life applications.

引用

页数：18