Author: Tania Dehesh; H.A. Mardani-Fard; Paria Dehesh
Title: Forecasting of COVID-19 Confirmed Cases in Different Countries with ARIMA Models Document date: 2020_3_18
ID: a0pf12jo_8
Snippet: Before analyzing, time series must become station-based on mean and variance. The Augmented Dickey-Fuller (ADF) is used (9) in recognizing stationary in the mean and Box Cox test in recognizing whether the time series is stationary based on variance or not. Log transformation and differences are remedy approaches to stabilize the time series for variance and mean, respectively (10). Seasonal differences were used to stabilize the series from seas.....
Document: Before analyzing, time series must become station-based on mean and variance. The Augmented Dickey-Fuller (ADF) is used (9) in recognizing stationary in the mean and Box Cox test in recognizing whether the time series is stationary based on variance or not. Log transformation and differences are remedy approaches to stabilize the time series for variance and mean, respectively (10). Seasonal differences were used to stabilize the series from seasonality trend.
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