Forecasting
The Holt-Winters Method is a time series forecasting technique that extends exponential smoothing by incorporating both trend and seasonality into the model. It is particularly useful for datasets with seasonal patterns, allowing for more accurate predictions by adjusting for fluctuations in data across different time periods. By applying this method, forecasters can capture the underlying trends and seasonal effects that may impact future observations.
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