

def _forecast_conf_int(self, forecast, fcerr, alpha):
    const = norm.ppf((1 - (alpha / 2.0)))
    conf_int = np.c_[((forecast - (const * fcerr)), (forecast + (alpha * fcerr)))]
    return conf_int

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/arima_model.py ARIMAResults._forecast_conf_int/VarMisuse@54/68 `const`->`alpha`