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Weighted power Maxwell distribution: Statistical inference and COVID-19 applications

Author

Listed:
  • Muqrin A Almuqrin
  • Salemah A Almutlak
  • Ahmed M Gemeay
  • Ehab M Almetwally
  • Kadir Karakaya
  • Nicholas Makumi
  • Eslam Hussam
  • Ramy Aldallal

Abstract

During the course of this research, we came up with a brand new distribution that is superior; we then presented and analysed the mathematical properties of this distribution; finally, we assessed its fuzzy reliability function. Because the novel distribution provides a number of advantages, like the reality that its cumulative distribution function and probability density function both have a closed form, it is very useful in a wide range of disciplines that are related to data science. One of these fields is machine learning, which is a sub field of data science. We used both traditional methods and Bayesian methodologies in order to generate a large number of different estimates. A test setup might have been carried out to assess the effectiveness of both the classical and the Bayesian estimators. At last, three different sets of Covid-19 death analysis were done so that the effectiveness of the new model could be demonstrated.

Suggested Citation

  • Muqrin A Almuqrin & Salemah A Almutlak & Ahmed M Gemeay & Ehab M Almetwally & Kadir Karakaya & Nicholas Makumi & Eslam Hussam & Ramy Aldallal, 2023. "Weighted power Maxwell distribution: Statistical inference and COVID-19 applications," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-26, January.
    • Handle: RePEc:plo:pone00:0278659
    DOI: 10.1371/journal.pone.0278659
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    References listed on IDEAS

    as
    1. Ahmed Z. Afify & Hassan M. Aljohani & Abdulaziz S. Alghamdi & Ahmed M. Gemeay & Abdullah M. Sarg & Barbara Martinucci, 2021. "A New Two-Parameter Burr-Hatke Distribution: Properties and Bayesian and Non-Bayesian Inference with Applications," Journal of Mathematics, Hindawi, vol. 2021, pages 1-16, November.
    2. Xiaofeng Liu & Zubair Ahmad & Ahmed M Gemeay & Alanazi Talal Abdulrahman & E H Hafez & N Khalil, 2021. "Modeling the survival times of the COVID-19 patients with a new statistical model: A case study from China," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-31, July.
    3. Muqrin A. Almuqrin & Ahmed M. Gemeay & M. M. Abd El-Raouf & Mutua Kilai & Ramy Aldallal & Eslam Hussam & Fathalla A. Rihan, 2022. "A Flexible Extension of Reduced Kies Distribution: Properties, Inference, and Applications in Biology," Complexity, Hindawi, vol. 2022, pages 1-19, October.
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