A new hybrid odd exponential-Φ family: Properties and applications-Reference-Cited by-同舟云学术

A new hybrid odd exponential-Φ family: Properties and applications

Published:2024-04-01 Issue:4 Volume:14 Page:
ISSN:2158-3226
Container-title:AIP Advances
language:en
Short-container-title:

Author:

Mahdi Ghanam A.¹^ORCID,Khaleel Mundher A.¹^ORCID,Gemeay Ahmed M.²^ORCID,Nagy M.³^ORCID,Mansi A. H.⁴^ORCID,Hossain Md. Moyazzem⁵^ORCID,Hussam Eslam⁶

Affiliation:

1. Department of Mathematics, College of Computer Sciences and Mathematics, Tikrit University 1 , Tikrit, Iraq

2. Department of Mathematics, Faculty of Science, Tanta University 2 , Tanta 31527, Egypt

3. Department of Statistics and Operations Research, College of Science, King Saud University 3 , P.O. Box 2455, Riyadh 11451, Saudi Arabia

4. DICA, Politecnico di Milano 4 , Piazza Leonardo da Vinci 32, 20131 Milan (MI), Italy

5. 5 Department of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh.

6. Department of Mathematics, Faculty of Science, Helwan University 6 , Cairo, Egypt

Abstract

The paper introduces the hybrid odd exponential-Φ (HOE-Φ) family, a novel framework for generating a continuous distribution characterized by an additional parameter. The extensive statistical properties of this family are derived and explored in detail. Parameter estimation is performed using the maximum likelihood estimation technique. The efficacy and versatility of the proposed model are demonstrated through a comparative analysis involving two distinct real-world datasets.

Funder

King Saud University

Publisher

AIP Publishing

Link

https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0187731/19863998/045203_1_5.0187731.pdf

Reference23 articles.

1. A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families;Biometrika,1997

2. Beta-normal distribution and its applications;Commun. Stat. -Theory Methods,2002

3. A new family of generalized distributions;J. Stat. Comput. Simul.,2011

4. A new method for generating families of continuous distributions;Metron,2013

5. The Weibull-G family of probability distributions;J. Data Sci.,2021