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  2. Cosmic microwave background - Wikipedia

    en.wikipedia.org/wiki/Cosmic_microwave_background

    Its amplitude depends on the time due to the Earth's orbit about the barycenter of the solar system. This enables us to add a time-dependent term to the dipole expression. The modulation of this term is 1 year, [89] [90] which fits the observation done by COBE FIRAS. [90] [91] The dipole moment does not encode any primordial information.

  3. Structural break - Wikipedia

    en.wikipedia.org/wiki/Structural_break

    Structural break. In econometrics and statistics, a structural break is an unexpected change over time in the parameters of regression models, which can lead to huge forecasting errors and unreliability of the model in general. [ 1][ 2][ 3] This issue was popularised by David Hendry, who argued that lack of stability of coefficients frequently ...

  4. Cointegration - Wikipedia

    en.wikipedia.org/wiki/Cointegration

    Cointegration. Cointegration is a statistical property of a collection (X1, X2, ..., Xk) of time series variables. First, all of the series must be integrated of order d (see Order of integration ). Next, if a linear combination of this collection is integrated of order less than d, then the collection is said to be co-integrated.

  5. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    Time series. In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily ...

  6. Periodogram - Wikipedia

    en.wikipedia.org/wiki/Periodogram

    Periodogram. In signal processing, a periodogram is an estimate of the spectral density of a signal. The term was coined by Arthur Schuster in 1898. [ 1] Today, the periodogram is a component of more sophisticated methods (see spectral estimation ). It is the most common tool for examining the amplitude vs frequency characteristics of FIR ...

  7. Moving-average model - Wikipedia

    en.wikipedia.org/wiki/Moving-average_model

    In time series analysis, the moving-average model ( MA model ), also known as moving-average process, is a common approach for modeling univariate time series. [ 1][ 2] The moving-average model specifies that the output variable is cross-correlated with a non-identical to itself random-variable. Together with the autoregressive (AR) model, the ...

  8. Kepler's laws of planetary motion - Wikipedia

    en.wikipedia.org/wiki/Kepler's_laws_of_planetary...

    Kepler used his two first laws to compute the position of a planet as a function of time. His method involves the solution of a transcendental equation called Kepler's equation. The procedure for calculating the heliocentric polar coordinates (r,θ) of a planet as a function of the time t since perihelion, is the following five steps:

  9. Autoregressive integrated moving average - Wikipedia

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

    Autoregressive integrated moving average. In statistics and econometrics, and in particular in time series analysis, an autoregressive integrated moving average ( ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. To better comprehend the data or to forecast upcoming series points, both of these models are fitted ...