Seasonal-Trend decomposition using LOESS1

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  STL (Seasonal-Trend decomposition using LOESS) Information The STL (Seasonal-Trend decomposition using LOESS) is a method used to decompose time series data into three main components: trend, seasonal, and residual. The trend component represents the long-term pattern or behavior in the time series. The seasonal component represents the repeating pattern that occurs within the time series over a fixed period of time, such as weekly or monthl.. Zettelkasten/Terminology Information 2023. 4. 11.