Various statistical methods are used to make seasonal adjustments. Common techniques include time series analysis methods like moving averages, Fourier analysis, and seasonal decomposition of time series (STL). These methods help isolate the seasonal component of the data, allowing for more accurate analysis of the underlying trends.
