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  2. Category:Time series models - Wikipedia

    en.wikipedia.org/wiki/Category:Time_series_models

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  3. Dying To Be Free - The Huffington Post

    projects.huffingtonpost.com/dying-to-be-free...

    At the time, addicts were lucky to find a hospital bed to detox in. A hundred years ago, the federal government began the drug war with the Harrison Act, which effectively criminalized heroin and other narcotics. Doctors were soon barred from addiction maintenance, until then a common practice, and hounded as dope peddlers.

  4. Autoregressive moving-average model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_moving...

    The CRAN task view on Time Series contains links to most of these. Mathematica has a complete library of time series functions including ARMA. [11] MATLAB includes functions such as arma, ar and arx to estimate autoregressive, exogenous autoregressive and ARMAX models. See System Identification Toolbox and Econometrics Toolbox for details.

  5. These models are useful in modeling time series with long memory—that is, in which deviations from the long-run mean decay more slowly than an exponential decay. The acronyms "ARFIMA" or "FARIMA" are often used, although it is also conventional to simply extend the "ARIMA( p , d , q )" notation for models, by simply allowing the order of ...

  6. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    Time series: random data plus trend, with best-fit line and different applied filters. 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.

  7. STAR model - Wikipedia

    en.wikipedia.org/wiki/STAR_model

    Given a time series of data x t, the STAR model is a tool for understanding and, perhaps, predicting future values in this series, assuming that the behaviour of the series changes depending on the value of the transition variable. The transition might depend on the past values of the x series (similar to the SETAR models), or exogenous variables.

  8. 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.

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  1. Related searches 5 places to help addicts with time series models in r major scale pdf

    5 places to help addicts with time series models in r major scale pdf download