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

Muqrin A Almuqrin, Salemah A Almutlak, Ahmed M Gemeay, Ehab M Almetwally, Kadir Karakaya, Nicholas Makumi, Eslam Hussam and Ramy Aldallal

PLOS ONE, 2023, vol. 18, issue 1, 1-26

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.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0278659

DOI: 10.1371/journal.pone.0278659

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