The Holt-Winters method is a statistical technique used for forecasting time series data that exhibits both trend and seasonality. It is an extension of exponential smoothing that adds components for capturing trends and seasonal variations, making it particularly useful for datasets with repeating patterns over time. The method employs three smoothing equations to account for level, trend, and seasonality, allowing businesses to make informed predictions based on historical data.
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