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Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
Almuqrin, Muqrin A; Almutlak, Salemah A; Gemeay, Ahmed M; Almetwally, Ehab M; Karakaya, Kadir; Makumi, Nicholas; Hussam, Eslam; Aldallal, Ramy.
  • Almuqrin MA; Department of Mathematics, Faculty of Science in Zulfi, Majmaah University, Al Majma'ah, Kingdom of Saudi Arabia.
  • Almutlak SA; Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh, Saudi Arabia.
  • Gemeay AM; Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt.
  • Almetwally EM; Faculty of Business Administration, Delta University of Science and Technology, Gamasa, Egypt.
  • Karakaya K; The Scientific Association for Studies and Applied Research, Al Manzalah, Egypt.
  • Makumi N; Department of Statistics, Faculty of Sciences, Selçuk University, Konya, Turkey.
  • Hussam E; Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya.
  • Aldallal R; Department of Mathematics, Faculty of Science, Helwan University, Cairo, Egypt.
PLoS One ; 18(1): e0278659, 2023.
Article in English | MEDLINE | ID: covidwho-2197052
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article