Author: Pavan Kumar; Ram Kumar Singh; Chintan Nanda; Himangshu Kalita; Shashikanta Patairiya; Yagya Datt Sharma; Meenu Rani; Akshaya Srikanth Bhagavathula
Title: Forecasting COVID-19 impact in India using pandemic waves Nonlinear Growth Models Document date: 2020_4_2
ID: b9p5tqhl_47
Snippet: The ARIMA model shows a straight line with a very high slope in the cases on incidence and mortality and recovery case; however, Richard's growth model in mid of forecast range it very great change in value and finally tends to become static for incidence and mortality and recovered cases. The ARIMA model the forecast limits are increased in the extensive limit as the time increases; however, Richard's growth model limits in minimal range compara.....
Document: The ARIMA model shows a straight line with a very high slope in the cases on incidence and mortality and recovery case; however, Richard's growth model in mid of forecast range it very great change in value and finally tends to become static for incidence and mortality and recovered cases. The ARIMA model the forecast limits are increased in the extensive limit as the time increases; however, Richard's growth model limits in minimal range comparatively.
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