Research Article Open Access

Alpha Power Inverted Exponentiated Weibull Distribution with Data Applications

Abdulkareem M. Basheer1
  • 1 Department of Mathematics, Faculty of Administrative Sciences, Albaydha University, Albaydha, Yemen

Abstract

A novel extension of the Inverted Exponentiated Weibull (IEW) distribution is achieved through the utilization of the generator Alpha Power (AP) transformation. The resulting extended distribution is denoted as the Alpha Power Inverted Exponentiated Weibull (APIEW) distribution, which encompasses various sub-models. The statistical characteristics of the newly proposed distribution are established, encompassing the hazard rate function, mean residual life, mean inactivity time, quantile function, moments, Rényi entropy, and order statistics. The unknown parameters of the proposed distribution are estimated via the maximum likelihood estimation technique. Subsequently, two sets of application data are employed to demonstrate the adaptability of the model.

Journal of Mathematics and Statistics
Volume 20 No. 1, 2024, 63-73

DOI: https://doi.org/10.3844/jmssp.2024.63.73

Submitted On: 6 April 2024 Published On: 21 December 2024

How to Cite: Basheer, A. M. (2024). Alpha Power Inverted Exponentiated Weibull Distribution with Data Applications. Journal of Mathematics and Statistics, 20(1), 63-73. https://doi.org/10.3844/jmssp.2024.63.73

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Keywords

  • Inverted Exponentiated Weibull
  • Alpha Power Transformation
  • Hazard Rate Function
  • Moments
  • Rényi Entropy
  • Maximum Likelihood Estimation
  • Simulation