问题如下:
If the income of Paul’s company shows nonstationary and also has a serial correlation, which of the following models could be used to predict the income of his company?
选项:
A. Linear trend model.
B. AR(1) model.
C. First-differenced AR(2) model.
解释:
C is correct.
考点: AR模型假设及修正
解析:当我们发现一个时间序列呈现序列相关时,我们要用AR(2)模型进行修正,若这个序列不是协方差平稳的,我们需要对其进行一阶差分来修正这个模型。所以在以上三个选项中,C选项First-differenced AR(2) model是我们最有可能用到的模型。
老师,first-differenced AR(1) model是不是也对?