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  2. 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.

  3. Seasonally adjusted annual rate - Wikipedia

    en.wikipedia.org/.../Seasonally_adjusted_annual_rate

    The seasonally adjusted annual rate (SAAR) is a rate that is adjusted to take into account typical seasonal fluctuations in data and is expressed as an annual total. SAARs are used for data affected by seasonality , when it could be misleading to directly compare different times of the year.

  4. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    , the seasonal component at time t, reflecting seasonality (seasonal variation). A seasonal pattern exists when a time series is influenced by seasonal factors. Seasonality occurs over a fixed and known period (e.g., the quarter of the year, the month, or day of the week). [1]

  5. X-13ARIMA-SEATS - Wikipedia

    en.wikipedia.org/wiki/X-13ARIMA-SEATS

    Calculate another estimate of the trend using a different set of weights (known as "Henderson weights"). Remove the trend again and calculate another estimate of the seasonal factor. Seasonally adjust the series again with the new seasonal factors. Calculate the final trend and irregular components from the seasonally adjusted series.

  6. Pick your winter: 3 ways to define the season with the least ...

    www.aol.com/weather/pick-winter-3-ways-define...

    In this definition of winter, the December solstice marks the midway point of the season, rather than the beginning. ... it becomes much easier to calculate seasonal statistics from the monthly ...

  7. Exponential smoothing - Wikipedia

    en.wikipedia.org/wiki/Exponential_smoothing

    Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function.Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.

  8. 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.

  9. Seasonal electric rates fell this month for some SMUD ... - AOL

    www.aol.com/seasonal-electric-rates-fell-month...

    Here’s what to know about non-summer rates as well as tips to control your electricity bill as temperatures fall across the Sacramento region. Seasonal electric rates fell this month for some ...