Seasonal differencing is a technique used in time series analysis to remove seasonal patterns by subtracting the value of an observation from its corresponding observation in the previous season. This method helps stabilize the mean of a time series, making it easier to analyze trends and patterns without seasonal effects. By applying seasonal differencing, analysts can focus on the underlying data trends and make better predictions.
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