First differencing is a statistical technique used to transform a time series data set by subtracting the previous observation from the current observation. This process helps to stabilize the mean of the time series by removing trends and seasonality, making it easier to analyze for stationarity and other properties. First differencing is particularly useful in integrated (I) processes, where the goal is to achieve a stationary time series that can be modeled more effectively.
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