Time Series Decomposition Technique. Table Of Contents: Introduction. Decomposition (1) Decomposition Decomposition in time series analysis refers to the process of breaking down a time series into its individual components, typically trend, seasonality, and remainder (or residual) components. The decomposition allows us to better understand the underlying patterns and variations present in the time series data. (2) Components Of Time Series Trend: The trend component represents the long-term direction or movement of the time series. It captures the overall systematic increase or decrease in the series over time. The trend can be linear, polynomial, exponential, or other functional forms depending

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