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[Retracted] The Exponentiated Exponential‐Inverse Weibull Model: Theory and Application to COVID‐19 Data in Saudi Arabia

Author

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  • Majdah Mohammed Badr
  • Ghaida Sobahi

Abstract

The purpose of this study is to introduce a new T‐X family lifetime distribution known as exponentiated exponential‐inverse Weibull, and we refer to this distribution as EE‐IW. The new model’s basic mathematical characteristics are studied. The maximum likelihood (ML) estimator (MLE) approach is used to estimate the parameters. A Monte Carlo simulation is done to examine the behavior of the estimators. Finally, a real‐world dataset is utilized to show the utility of the proposed model in many industries and to compare it to well‐known distributions.

Suggested Citation

  • Majdah Mohammed Badr & Ghaida Sobahi, 2022. "[Retracted] The Exponentiated Exponential‐Inverse Weibull Model: Theory and Application to COVID‐19 Data in Saudi Arabia," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:8521026
    DOI: 10.1155/2022/8521026
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    References listed on IDEAS

    as
    1. Manisha & M. MASOOM ALI & JUNGSOO WOO, 2006. "Exponentiated Weibull distribution," Statistica, Department of Statistics, University of Bologna, vol. 66(2), pages 139-147.
    2. Said Alkarni & Ahmed Z. Afify & I. Elbatal & M. Elgarhy, 2020. "The Extended Inverse Weibull Distribution: Properties and Applications," Complexity, Hindawi, vol. 2020, pages 1-11, October.
    3. Felipe Gusmão & Edwin Ortega & Gauss Cordeiro, 2011. "The generalized inverse Weibull distribution," Statistical Papers, Springer, vol. 52(3), pages 591-619, August.
    4. repec:plo:pone00:0248873 is not listed on IDEAS
    5. Saralees Nadarajah, 2011. "The exponentiated exponential distribution: a survey," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(3), pages 219-251, September.
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