Because ARIMA models require the time series to be stationary, differencing may be a necessary preprocessing step before using an ARIMA model for forecasting. The SARIMA model extends ARIMA by ...

3 Therefore, we built time series models to predict yearly lung cancer death rates. We removed all other types of cancers, missing values, and outliers from our data set. Subsequently, Python ... step ...