Intro to Programming in R
Non-stationarity refers to a characteristic of a time series where its statistical properties, such as mean and variance, change over time. This concept is crucial in time series analysis because non-stationary data can lead to unreliable predictions and misleading statistical inference if not properly addressed. Identifying non-stationarity is essential for applying appropriate modeling techniques to analyze trends, seasonality, and other dynamic features within the data.
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