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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/969| Nonlinear regression in COVID-19 forecasting | |
| Cui Hengjian Hu Tao | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| This paper introduces some kinds of nonlinear growth curvesfor forecasting cumulative COVID-19 patients.It is shown that the Richards curve is reasonable and flexible in this COVID-19 forecasting. The nonlineargrowth curve regression model is established for forecasting cumulative COVID-19 patients and the parameterestimation approach for the model is also given. Specifically, the COVID-19 situation forecasting in Chinais made well which includes forecasting based on consecutive and piecewise time fitting. It provides a goodbasis for the future work. | |
| Scientia Sinica Mathematica | |
| 2020 | |
| Preimpreso | |
| https://coronavirus.1science.com/item/64a483678ed4d6511c7aeb3aefddebd14c5f9412 | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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