Derivation of a New Odd Exponential-Weibull Distribution
DOI:
https://doi.org/10.4314/tf0ft393Keywords:
Odd-Exponential-G, Weibull, Quantile function, survival function, Maximum likelihood, Order StatisticsAbstract
The study of statistical distributions has led to the development of numerous extensions of well-known continuous distributions to enhance their flexibility and applicability across various fields. In this paper, we introduce a new three-parameter distribution known as the Odd Exponential-Weibull (OE-W) distribution, which extends the traditional Weibull distribution by incorporating additional parameter. We thoroughly investigate the mathematical properties of the OE-W distribution, deriving explicit formulas for the quantile function, moments, moment-generating function, survival function, hazard function, entropy, and order statistics. Parameter estimation is conducted using the maximum likelihood estimation (MLE) method, which is known for its robustness. To assess the reliability and accuracy of these parameter estimates, a Monte Carlo simulation study is performed. The simulation results indicate that the MLE method consistently yields reliable and accurate estimates for the parameters of the OE-W distribution. The introduction of this new distribution provides a valuable tool for modeling and analyzing data in fields such as reliability engineering and survival analysis, where flexible and accurate probability distributions are crucial.
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Fabian James Umoren, Mfon Clement Utin, Resource Recovery from Maize Wastes; Synthesis and Characterization of Silicon Oxide Nanoparticles , Communication In Physical Sciences: Vol. 11 No. 3 (2024): VOLUME 11 ISSUE 3
- Innocent C. Eli, Godspower C. Abanum, Comparison Between Analytical and Numerical Result of Stability Analysis of a Dynamical System , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
- Abubakar Tahiru, Oluwasanmi M. Odeniran, Shardrack Amoako, Developing Artificial Intelligence-Powered Circular Bioeconomy Models That Transform Forestry Residues into High-Value Materials and Renewable Energy Solutions , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Victor Edward Oyowah, Aniediobong Jonah Ukpong, Etim Nyong Eyo, Wilson Edet Osung, Bala Enai Iliya, Foraminiferal Biostratigraphic Study of “VC” Well in the Central Niger Delta , Communication In Physical Sciences: Vol. 13 No. 5 (2026): VOLUME 13 ISSUE 5
- Taye Temitope Alawode, Molecular Docking Studies on Eudesmane Sesquiterpenes as Potential Anti-leishmanial Agents , Communication In Physical Sciences: Vol. 12 No. 1 (2024): VOLUME 12 ISSUE 1
- Yunusa Habibat, Omoniyi K. Isreal, Stephen Abechi, Aroh A. Oyibo, Owolabi A. Awwal, Imam Naziru, Green Synthesis of Titanium Oxide (TiO2) Nanoparticles Using Phyllanthus Niruri and Assessment of Its Antibacterial Activity in Wastewater Treatment , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Felicia Uchechukwu Okwunodulu, Stella Mbanyeaku Ufearoh, Amaku James Friday, Angela Nwamaka Anim, Colorimetric detection of Hg(II) ions present in industrial wastewater using zinc nanoparticle synthesized biologically with Rauwolfia vomitoria leaf extract , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
- Felicia Uchechukwu Okwunodulu, Stevens Azubuike Odoemelam, Remediation of effluents polluted with toxic heavy metals using Cola nitida pod husk , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Bright Okore Osu, Prisca Udodiri Duruojinkeya, The Modeling of the Worth of an Asset Using a Skew Random Pricing Tree , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Agada Livinus Emeka, Sonloye Seyi Abiodun, Impacts of Temperature and Precipitation Variability in Northeast Nigeria: a Case Study of Yobe State , Communication In Physical Sciences: Vol. 8 No. 2 (2022): VOLUME 8 ISSUE 2
You may also start an advanced similarity search for this article.



