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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for differencing, which is useful for removing trends and handling some types of non-stationarity.

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What are we trying to predict with ARIMA if we remove non-stationarity in data [duplicate]

I am beginning to learn time series analysis and I read that for ARIMA models, one needs to have a stationary process...that would mean removing periodicities and trends in the data....but isn't that what …
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