Author: Guorong Ding; Xinru Li; Yang Shen; Jiao Fan
Title: Brief Analysis of the ARIMA model on the COVID-19 in Italy Document date: 2020_4_11
ID: ilwsrir6_11
Snippet: The Augmented Dickey-Fuller (ADF) unit-root test helps in estimating whether the time series is stationary [8] . Log transformation and differences are the preferred approaches to stabilize the time series. Wolds decomposition theorem and Cramers decomposition theorem construct the theoretical basis of ARIMA model fitting stationary sequences [6] ......
Document: The Augmented Dickey-Fuller (ADF) unit-root test helps in estimating whether the time series is stationary [8] . Log transformation and differences are the preferred approaches to stabilize the time series. Wolds decomposition theorem and Cramers decomposition theorem construct the theoretical basis of ARIMA model fitting stationary sequences [6] .
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