Autoregressive integrated moving average ARIMA) models are a general class of models used in forecasting time series based on the hypothesis that adequate forecasts of future values of a time series can be obtained based solely on past information of the series.

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Autoregressive integrated moving average (ARIMA) models are specifically designed for time series forecasting and use past values of the series to make future predictions.

Autoregressive Integrated Moving Average ARIMA) Models Are a General Class