Actuarial Mathematics
Seasonal decomposition is a statistical method used to separate a time series into its constituent components: trend, seasonal, and irregular (or random) components. This approach allows for a clearer understanding of underlying patterns in the data, making it easier to analyze and forecast future values based on historical trends and seasonal effects.
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