A Novel Kumaraswamy-Fréchet Poisson Distribution
This paper introduces a novel probability distribution by combining the Kumaraswamy-G-Poisson and Fréchet distributions, resulting in the six-parameter Kumaraswamy-Fréchet Poisson (KFP) distribution. The proposed model enhances flexibility for modeling diverse data types beyond traditional lifetime applications. We rigorously derive its key statistical properties and estimate parameters using Maximum Likelihood Estimation (MLE). To demonstrate its effectiveness, we apply the KFP distribution to real-world data, showing satisfactory goodness-of-fit when compared with competing distributions.
Authors
- Muhyiddin Izadi (ORCID: https://orcid.org/0000-0001-6725-3449)
- Abbas Lafta Kneehr
- Baqer Kareem Fahad
Institutions
- Razi University (IR)
- University of Wasit (IQ)
Publication Details
- Journal
- Contemporary Mathematics
- Published
- 2025-09-08
- DOI
- https://doi.org/10.37256/cm.6520257988
- Primary Topic
- Statistical Distribution Estimation and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00