Metrics
17 Record Views
Journal article
Enhanced Real-Life Data Modeling with the Modified Burr III Odds Ratio–G Distribution
Axioms, Vol.13(6), p.401
06/14/2024
Web of Science ID: WOS:001254592500001
Abstract
In this study, we introduce the modified Burr III Odds Ratio–G distribution, a novel statistical model that integrates the odds ratio concept with the foundational Burr III distribution. The spotlight of our investigation is cast on a key subclass within this innovative framework, designated as the Burr III Scaled Inverse Odds Ratio–G (B-SIOR-G) distribution. By effectively integrating the odds ratio with the Burr III distribution, this model enhances both flexibility and predictive accuracy. We delve into a thorough exploration of this distribution family’s mathematical and statistical properties, spanning hazard rate functions, quantile functions, moments, and additional features. Through rigorous simulation, we affirm the robustness of the B-SIOR-G model. The flexibility and practicality of the B-SIOR-G model are demonstrated through its application to four datasets, highlighting its enhanced efficacy over several well-established distributions.
Details
- Title
- Enhanced Real-Life Data Modeling with the Modified Burr III Odds Ratio–G Distribution
- Publication Details
- Axioms, Vol.13(6), p.401
- Resource Type
- Journal article
- Publisher
- MDPI AG
- Copyright
- © 2024 by the authors.
- Identifiers
- WOS:001254592500001; 99380559980406600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English