Business Forecasting
ARIMA is a popular statistical method used for time series forecasting that combines three components: autoregression (AR), differencing (I), and moving averages (MA). This model helps to analyze and predict future values based on past data by capturing trends, cycles, and seasonal variations, making it especially useful for economic indicators in forecasting models.
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