

@cache_readonly
def bse(self):
    params = self.params
    hess = self.model.hessian(self)
    if (len(params) == 1):
        return np.sqrt(((- 1.0) / hess[0]))
    return np.sqrt(np.diag((- inv(hess))))

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/arima_model.py ARMAResults.bse/VarMisuse@27/32 `params`->`self`