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Modeling COVID-19 Outcomes Using a New Extended Inverse Burr Distribution

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  • Shahid Mohammad
  • Nirajan Budhathoki

Abstract

A new extension of the inverse Burr distribution, namely the extended odd-Weibull inverse Burr distribution (ExOW-IB), is proposed and defined. This new distribution is a member of the extended odd Weibull-G family. Statistical properties, including linear representations, quantile functions, moment-generating functions, and others, are derived. The method of maximum likelihood is discussed to estimate parameters of the proposed distribution. A simulation study is performed to assess the performance of the estimation method. The proposed distribution offers greater flexibility in modeling COVID-19 mortality data in comparison to other existing distributions.

Suggested Citation

  • Shahid Mohammad & Nirajan Budhathoki, 2026. "Modeling COVID-19 Outcomes Using a New Extended Inverse Burr Distribution," Journal of Probability and Statistics, Hindawi, vol. 2026, pages 1-12, April.
    • Handle: RePEc:hin:jnljps:9920669
    DOI: 10.1155/jpas/9920669
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