Tidstyper
Tidstyper is a conceptual framework used in some fields of statistics and data analysis to categorize different patterns of temporal dependencies within data. It posits that time series data can exhibit distinct "types" of behavior, influencing how they should be modeled, analyzed, and predicted. While specific definitions can vary, the core idea is to move beyond a monolithic view of time series and instead recognize that underlying generative processes can lead to different structural characteristics.
One common distinction within tidestyping might involve the presence and nature of seasonality, trend, and cyclical
The practical application of tidestyping lies in its potential to guide the selection of appropriate statistical