Author: Tanujit Chakraborty; Indrajit Ghosh
Title: Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis Document date: 2020_4_14
ID: ba6mdgq3_15
Snippet: ARIMA is a classical time series model, used for tracking linear tendencies in stationary time series data. ARIMA model is denoted by ARIMA(p, d, q). The parameters p and q are the order of the AR model and the MA model respectively, and d is the level of differencing [9] . ARIMA model can be mathematically expressed as follows:.....
Document: ARIMA is a classical time series model, used for tracking linear tendencies in stationary time series data. ARIMA model is denoted by ARIMA(p, d, q). The parameters p and q are the order of the AR model and the MA model respectively, and d is the level of differencing [9] . ARIMA model can be mathematically expressed as follows:
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