RETRACTED: Advancements in Multivariate Distribution Modeling: Introducing the Multivariate Kumaraswamy Exponential Pareto Distribution (MKEPD) Framework

Ahmadini, Abdullah Ali H.

doi:10.28924/2291-8639-23-2025-48

Research Article

RETRACTED: Advancements in Multivariate Distribution Modeling: Introducing the Multivariate Kumaraswamy Exponential Pareto Distribution (MKEPD) Framework

Abdullah Ali H. Ahmadini

Abstract

This study aims to formulate a new probability distribution, called the Kumaraswamy Exponential Pareto distribution (KEPD), from the Exponential Pareto distribution (EP). This distribution was designed to be suitable for fitting real-life data by utilizing the Kumaraswamy family to create a novel continuous probability distribution approach. This study derived some properties of this new distribution and conducted a simulation study using different parameter combinations. The results of the simulation study demonstrated the impact of additional parameters on the suggested distribution. In real-life data applications, the suggested distribution exhibits a better fit than the existing Kumaraswamy Exponentiated Pareto Distribution (KEPD), Exponential Pareto Distribution (EP), and Exponential Distribution (Exp).
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⚠️ **Retraction Note (May 26, 2025):**
This article has been retracted due to an unresolved authorship dispute.

How to Cite

A. A. H. Ahmadini, RETRACTED: Advancements in Multivariate Distribution Modeling: Introducing the Multivariate Kumaraswamy Exponential Pareto Distribution (MKEPD) Framework, Int. J. Anal. Appl. 23 (2025), 48. https://doi.org/10.28924/2291-8639-23-2025-48

BibTeX

@article{Ahmadini2025,
  author  = {Ahmadini, Abdullah Ali H.},
  title   = {RETRACTED: Advancements in Multivariate Distribution Modeling: Introducing the Multivariate Kumaraswamy Exponential Pareto Distribution (MKEPD) Framework},
  journal = {Int. J. Anal. Appl.},
  volume  = {23},
  year    = {2025},
  pages   = {48},
  doi     = {10.28924/2291-8639-23-2025-48}
}

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