Statistical forecasting is the practice of making predictions about future events based on past events. The goal of statistical forecasting is to improve the accuracy of predictions by taking into account factors that influenced the events in the past.
Forecasting can be done using a number of different methods, including regression models, artificial neural networks, and time series analysis.
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