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#Com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima Classes and Interfaces - 7 results found.
| Name | Description | Type | Package | Framework |
| ARIMAForecast | Forecasts an ARIMA time series using the innovative algorithm. | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |
| ARIMAForecast .Forecast | The forecast value and variance. | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |
| ARIMAForecastMultiStep | Makes forecasts for a time series assuming an ARIMA model using the innovative algorithm. | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |
| ARIMAModel | An ARIMA(p, d, q) process, Xt, is such that (1 - B)^d X_t = Y_t | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |
| ARIMASim | This class simulates an ARIMA (AutoRegressive Integrated Moving Average) process. | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |
| ARIMAXModel | The ARIMAX model (ARIMA model with eXogenous inputs) is a generalization of the ARIMA model by incorporating exogenous variables. | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |
| AutoARIMAFit | Selects the order and estimates the coefficients of an ARIMA model automatically by AIC or AICC. | Class | com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima | SuanShu |