

def _forecast_error(self, steps):
    sigma2 = self.sigma2
    ma_rep = arma2ma(np.r_[(1, (- self.arparams))], np.r_[(1, ma_rep.maparams)], nobs=steps)
    fcasterr = np.sqrt((sigma2 * np.cumsum((ma_rep ** 2))))
    return fcasterr

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/arima_model.py ARMAResults._forecast_error/VarMisuse@45/56 `self`->`ma_rep`