stationarity and nonstationarity
Stationarity refers to a property in a time series data where the statistical properties of the data do not change over time. In stationarity, the mean, variance, and autocovariance remain constant throughout the series. On the other hand, nonstationarity refers to a time series data that exhibits changing statistical properties over time, such as a varying mean or variance. Nonstationarity can arise due to trends, seasonality, or other factors that cause the statistical properties of the data to change over time.
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