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What is Time Series Decomposition in Forecasting about?
The document discusses time series decomposition models for forecasting business phenomena. It explains that time series can be decomposed into trend, seasonal, cyclical, and irregular components. The basic decomposition model is expressed as Y=TxSxCxI. The document outlines the steps to estimate each component and generate forecasts using centered moving averages, seasonal indices, trend lines, and cyclical factors. Private housing starts data is used as an example to demonstrate the decomposition and fore
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