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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for differencing, which is useful for removing trends and handling some types of non-stationarity.

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Forecasting an Index using google Trend Data in r

I found that a Standard Power equation plus offset, "index = a * pow(frequency, b) + Offset", fits the data OK with parameters a = 1.4673699132616930E-02, b = 1.7539637597199835E+00, and Offset = 8.21 …
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Commonly used example data sets

The U.S. National Institute of Standards and Technology (NIST) has a database online at https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml with both test data sets and associated non-linear regre …