The result shows that a second order ARMA model gives the best fit to the data in terms of sum of squares of prediction errors and in terms of the whiteness of the residual.

• 两种算法都进行了仿真，结果表明：从预测偏差的平方和及残数的空白度来看，二阶的ARMA模型会产生最佳的数据适应度。