Determines parameters of a multiplicative seasonal autoregressive integrated moving average (ARIMA) model, and produces forecasts that incorporate the effects of outliers whose effects persist beyond the end of the series.
TS_AUTO_ARIMA( <time_value>, <timeseries_expression> [ , <max_lag> [ , <critical > [ , <epsilon> [ , <criterion> [ , <confidence> [, <model> [ , <n_predictions>]]]]]]] ) OVER (window-spec)