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_36
Snippet: The ARIMA and Richards both of the growth models validated based on Coefficient of determination(R 2 ) desirable value should be higher, Root Mean Square Error (RMSE), its value should be lower, and Bayesian Information Criteria (BIC), the value should be lower. It provides the information for good model fit, and results are likely to be reliable. We observed that the ARIMA model was an excellent fit model......
Document: The ARIMA and Richards both of the growth models validated based on Coefficient of determination(R 2 ) desirable value should be higher, Root Mean Square Error (RMSE), its value should be lower, and Bayesian Information Criteria (BIC), the value should be lower. It provides the information for good model fit, and results are likely to be reliable. We observed that the ARIMA model was an excellent fit model.
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