Säsongsfaktorerna
Säsongsfaktorerna, often translated as seasonal factors, are statistical adjustments used to account for predictable fluctuations in time series data that occur at regular intervals, most commonly annually. These factors aim to remove the impact of seasonality so that underlying trends and cyclical patterns can be more clearly observed and analyzed. For example, retail sales often show a significant increase in the fourth quarter due to holiday shopping, and this seasonal effect would be identified and adjusted for using säsongsfaktorerna.
The calculation of säsongsfaktorerna typically involves comparing the actual value of a data point to a smoothed