Collaborative Data Science
ARIMA, which stands for AutoRegressive Integrated Moving Average, is a popular statistical method used for time series forecasting. It combines three components: autoregression (AR), differencing (I), and moving average (MA) to model and predict future values based on past data. This method is particularly useful in handling non-stationary data and has broad applications in fields like economics, finance, and environmental science.
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