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  2. Seasonality - Wikipedia

    en.wikipedia.org/wiki/Seasonality

    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 [1] and consists of periodic, repetitive, and generally regular and predictable patterns in the levels [2] of a time series.

  3. Seasonal adjustment - Wikipedia

    en.wikipedia.org/wiki/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 to analyse the trend, and cyclical deviations from trend, of a time series independently of the seasonal components.

  4. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    An example of statistical software for this type of decomposition is the program BV4.1 that is based on the Berlin procedure.The R statistical software also includes many packages for time series decomposition, such as seasonal, [7] stl, stlplus, [8] and bfast.

  5. Why meteorological and astronomical winter start on 2 ...

    www.aol.com/weather/why-meteorological...

    "By following the civil calendar and having less variation in season length and season start, it becomes much easier to calculate seasonal statistics from the monthly statistics, both of which are ...

  6. Winter is coming ... but when? A look at the astronomical ...

    www.aol.com/winter-coming-look-astronomical...

    This could skew seasonal statistics, making average temperatures higher. Discover our 90+ feel-good picks: Popular Christmas movies to stream this holiday season. When is the first day of winter 2024?

  7. Autoregressive integrated moving average - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_integrated...

    Likewise, seasonal differencing is applied to a seasonal time-series to remove the seasonal component. From the perspective of signal processing, especially the Fourier spectral analysis theory, the trend is a low-frequency part in the spectrum of a series, while the season is a periodic-frequency part.

  8. X-13ARIMA-SEATS - Wikipedia

    en.wikipedia.org/wiki/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 data that are implemented in the U.S. Census Bureau's software package. [3]

  9. US GDP revised down in every first quarter from 2020 to 2022

    www.aol.com/news/us-gdp-revised-down-every...

    But seasonal effects have lingered in some cases even after the data was seasonally adjusted. This was most prevalent in first-quarter GDP data, before the government resolved the problem in 2018.