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] .
Search related documents:
Co phrase search for related documents- arima model and time series: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- log transformation and time series: 1, 2
- log transformation and time series stabilize: 1
- stationary sequence and time series: 1, 2
- theoretical basis and time series: 1
Co phrase search for related documents, hyperlinks ordered by date