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

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 th...

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Detalles Bibliográficos
Autores principales: Almuqrin, Muqrin A., Almutlak, Salemah A., Gemeay, Ahmed M., Almetwally, Ehab M., Karakaya, Kadir, Makumi, Nicholas, Hussam, Eslam, Aldallal, Ramy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810183/
https://www.ncbi.nlm.nih.gov/pubmed/36595502
http://dx.doi.org/10.1371/journal.pone.0278659
Descripción
Sumario: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.