def METHOD_NAME(self, obj):
    obj = obj.total_process_risk_ ** 2 + obj.total_parameter_risk_ ** 2
    if obj.array_backend == "sparse":
        out = obj.set_backend("numpy").sqrt().values[..., 0, -1]
    else:
        out = obj.sqrt().values[..., 0, -1]
    return pd.DataFrame(out, index=obj.index, columns=obj.columns)