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Everything about Seasonality
Variations in data at specific regular intervals less than a year
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. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: SeasonalityA 5-minute orientation
- Skim a recent paper: Seasonality of Respiratory Syncytial Virus — United States, 2017–2023Influential work since 2022
- Pick up a classic book: The seasonsThe most-reprinted book on the subject
- Read the landmark paper: Seasonality and the dynamics of infectious diseasesCited 1,350 times
- Go sideways: Decomposition of time seriesA closely related topic
- Go sideways: Seasonal adjustmentA closely related topic
đź“– Definitions
Noun Variation with the seasons
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Seasonality and the dynamics of infectious diseases
Further Evidence On Investor Overreaction and Stock Market Seasonality
Size-related anomalies and stock return seasonality
Seasonality of Respiratory Viral Infections
Seasonality extraction by function fitting to time-series of satellite sensor data
Absolute humidity modulates influenza survival, transmission, and seasonality
Photoperiodic Control of Seasonality in Birds
Capital market seasonality: The case of stock returns
🆕 Influential since 2022
Seasonality of Respiratory Syncytial Virus — United States, 2017–2023
Anthropogenic climate change has influenced global river flow seasonality
Land surface and air temperature dynamics: The role of urban form and seasonality
Streamflow seasonality in a snow-dwindling world
Seasonality of influenza and other respiratory viruses
đź“š Books worth reading
The seasonsJames Thomson · 1726
We're Going on a Bear HuntMichael Rosen · 1746
Peppa PigPeppa Pig · 2012
The birchbark houseLouise Erdrich · 1999
Sunshine makes the seasonsFranklyn M. Branley, Michael Rex · 1974
RoxaboxenAlice McLerran · 1990
AutumnAli Smith · 1988
Children of the ForestElsa Beskow · 1969
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Decomposition of time series The decomposition of time series is a statistical task that deconstructs a time series into several components, each representing one of the underlying…
- Seasonal adjustment Seasonal adjustment or deseasonalization is a statistical method for removing the seasonal component of a time series. It is usually done when wanting…
- Autoregressive integrated moving average In time series analysis used in statistics and econometrics, autoregressive integrated moving average (ARIMA) and seasonal ARIMA (SARIMA) models are generalizat…
- X-13ARIMA-SEATS X-13ARIMA-SEATS, successor to X-12-ARIMA and X-11, is a set of statistical methods for seasonal adjustment and other descriptive analysis of time series…
- Box–Jenkins method In time series analysis, the Box–Jenkins method, named after the statisticians George Box and Gwilym Jenkins, applies autoregressive moving average (ARMA)…
- Forecasting Forecasting is the process of making predictions based on past and present data. These forecasts can later be compared with actual outcomes. For example…
- Linear trend estimation Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered tends to…
- Time series In mathematics, a time series is a sequence of data points indexed, listed, or graphed in chronological order. Most commonly, a time series consists of…