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  2. Autoregressive moving-average model - Wikipedia

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

    For example, processes in the AR(1) model with | | are not stationary because the root of = lies within the unit circle. [3] The augmented Dickey–Fuller test assesses the stability of IMF and trend components. For stationary time series, the ARMA model is used, while for non-stationary series, LSTM models are used to derive abstract features.

  3. Accelerated Reader - Wikipedia

    en.wikipedia.org/wiki/Accelerated_Reader

    Educator Jim Trelease however, describes Accelerated Reader, along with Scholastic's Reading Counts!, as "reading incentive software" in an article exploring the pros and cons of the two software packages. [18] Stephen D. Krashen, in a 2003 literature review, also asserts that reading incentives is one of the aspects of Accelerated Reader. He ...

  4. Dickey–Fuller test - Wikipedia

    en.wikipedia.org/wiki/Dickey–Fuller_test

    In statistics, the Dickey–Fuller test tests the null hypothesis that a unit root is present in an autoregressive (AR) time series model. The alternative hypothesis is different depending on which version of the test is used, but is usually stationarity or trend-stationarity .

  5. Autoregressive conditional heteroskedasticity - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_conditional...

    Generally, when testing for heteroskedasticity in econometric models, the best test is the White test. However, when dealing with time series data, this means to test for ARCH and GARCH errors. Exponentially weighted moving average (EWMA) is an alternative model in a separate class of exponential smoothing models. As an alternative to GARCH ...

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  7. Renaissance Learning - Wikipedia

    en.wikipedia.org/wiki/Renaissance_Learning

    Renaissance is known for creating Accelerated Reader, which is used in about 35,000 schools, as well as Star computer-adaptive assessments, used in more than 37,000 schools, making Star Assessments the most widely used computer-adaptive assessment in the U.S. Pre-K–12 educational market, according to company figures.

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