seasonality
Sign in to saveAlso known as seasonal variations, seasonal variation, periodic fluctuations, seasonal biology
In time series data, seasonality refers to the trends that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly. Seasonality may be caused by various factors, such as weather, vacation, and holidays and consists of periodic, repetitive, and generally regular and predictable patterns in the levels of a time series.
~18 min read
Article
15 sectionsContents
- Motivation
- Detection
- Calculation
- Method of simple averages
- Ratio to trend method
- Ratio-to-moving-average method
- Link relatives method
- Modeling
- Seasonal adjustment
- In regression analysis
- Related patterns
- See also
- References
- Further reading
- External links
In time series data, seasonality refers to the trends that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly. Seasonality may be caused by various factors, such as weather, vacation, and holidays and consists of periodic, repetitive, and generally regular and predictable patterns in the levels of a time series.
Seasonal fluctuations in a time series can be contrasted with cyclical patterns. The latter occur when the data exhibits rises and falls that are not of a fixed period. Such non-seasonal fluctuations are usually due to economic conditions and are often related to the "business cycle"; their period usually extends beyond a single year, and the fluctuations are usually of at least two years.