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.

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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
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article

A Novel Kumaraswamy-Fréchet Poisson Distribution

‎Muhyiddin Izadi, Abbas Lafta Kneehr, Baqer Kareem Fahad
Contemporary Mathematics
Statistical Distribution Estimation and Applications
article

A Novel Kumaraswamy-Fréchet Poisson Distribution

‎Muhyiddin Izadi, Abbas Lafta Kneehr, Baqer Kareem Fahad
article en

Abstract

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.

Contemporary Mathematics
Razi University (IR), University of Wasit (IQ)
Openalex Percentile: Top 77%
Statistical Distribution Estimation and Applications
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