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On computational analysis of nonlinear regression models addressing heteroscedasticity and autocorrelation issues: An application to COVID-19 data

  • Published:2022-10 Issue:10 Volume:8 Page:e11057
  • ISSN:2405-8440
  • Container-title:Heliyon
  • language:en
  • Short-container-title:Heliyon

Author:

Atchadé Mintodê NicodèmeORCID,Tchanati P. PaulORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference43 articles.

1. The influence of passenger air traffic on the spread of Covid-19 in the world;Atchadé;Transp. Res. Interdiscip. Perspect.,2020

2. Statistical analysis on Covid-19;Jiang;Biomed. J. Sci. Tech. Res.,2020

3. Modeling the epidemic dynamics and control of Covid-19 outbreak in China;Zhao;Quant. Biol. (Beijing, China),2020

4. Logistic growth modelling of Covid-19 proliferation in China and its international implications;Shen;Int. J. Infect. Dis.,2020

5. Cross-validation comparison of Covid-19 forecast models;Atchadé;SN Comput. Sci.,2021

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