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

Md Mahabubur Rahman, Ahmed M. Gemeay, Md Awwal Islam Khan, Mohammed Amine Meraou, M. E. Bakr, Abdisalam Hassan Muse, Eslam Hussam, Oluwafemi Samson Balogun

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Article number095025
JournalAIP Advances
Volume13
Issue number9
DOIs
StatePublished - 1 Sep 2023
Externally publishedYes

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