Higher-order differencing is a technique used in time series analysis to remove trends and seasonality by applying the differencing operation more than once. This process helps to stabilize the mean of a time series by eliminating systematic changes over time, enabling better modeling of the underlying data. The goal is to achieve stationarity, which is crucial for accurate forecasting and analysis.
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