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What is Wold Decomposition in Time Series Analysis about?

Decomposition of time series involves breaking down a time series into various components, such as trend, seasonal, cyclical, and irregular components. There are two main types of decomposition - based on rates of change and based on predictability. Decomposition based on rates of change breaks down a time series using an additive or multiplicative model into trend, seasonal, cyclical, and irregular components. Decomposition based on predictability separates a time series into deterministic/predictable and

Author

john949

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EN