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What is Time Series Decomposition Explained about?

This document discusses decomposing a time series into trend (Tt), seasonal (St), and irregular (It) components. It provides examples of calculating moving averages to remove St and It, yielding the Tt component. Seasonal indices are estimated by comparing actual values to trend values. Plotting the seasonally adjusted and irregular components reveals that the irregular component does not appear random, indicating some underlying factor was not accounted for in the decomposition.

Author

Abhi

Language

EN