👉 Stationarity is a statistical concept that refers to a time series where the fluctuations in its values are relatively constant over time. It can be defined as a situation where the value of the time series data does not change significantly over time, which means there are no periodic or irregularities in the data. Stationary data can help in identifying patterns and trends in the time series data that may not be apparent with other types of data.
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What is the definition of Stationariness? 🙋
👉 Stationarity in statistics refers to a statistical model where all parameters of the model are constant over time or across observations. This means that the values of the dependent variable at different times or observations are not changing over time, which is also referred to as "stationary" or "constant." Stationarity can be characterized by the absence of autocorrelation and heteroskedasticity in the residuals (errors) of a statistical model.
