seasonal adjustments

Terms from Artificial Intelligence: humans at the heart of algorithms

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Seasonal adjustments for a time series are factors that are added to, subtracted from or multiplied by the raw data to acomodate seasonal factors such as increased ice cream sales in the summer. This is often applied as a form of pre-processing before applying other forms of {[time-series analysis}}.

Used in Chap. 14: pages 231, 232, 233

Also known as seasonality adjustments