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课程代号:
潍坊学院 2025- 2025学年第一学期期末考试
《应用时间序列分析》试卷(B卷)答案
考生答题不得过此线
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填空题(18分,每题3分)
1.; 2 拖尾; 3频域分析和时域分析;
4. 对任意的和任意的使得有与相同的联合分布;
5矩估计、极大似然估计和最小二乘估计; 6 AIC 和SBC;
二、简答题(共22分,1题10分,2题12分)
1.(本题10分)
解:
模型识别:即确定自回归模型阶数p和移动平均模型阶数q。
2 分
(2)参数估计:即给出均值、自回归参数和移动平均参数,以及白噪音方差 的估计值。 3分
(3)模型的检验和模型选择:对所选择的不同阶数p和q的值,重复估计步骤,直至选出最优模型为止。 3 分
(4)应用信息准则法进行模型优化选择。 2 分
2.(本题10分)
解
(1)时间序列分析方法强调变量值序列顺序的重要性;2分
(2)时间序列各观察值之间存在一定的依存关系; 3分
(3)时间序列分析根据自身的变化规律来预测未来; 3分
(4)时间序列是一组随机变量的一次样本实现; 2分
(5)时间序列分析和回归分析的建模思路不同。 2分
三.证明题(共12分)
证明:是具有周期T的函数,因而是有界函数,是区间(0,T)上均匀分布的随机变量,因而
5分
为常数,
5分
因而的二阶矩都存在,均值函数为常数,协方差函数只与t-s有关,因而为宽平稳过程。 2分
四.分析计算题(共44分,每题12分)
1解:
对计算可以得到:
2分
3分
3分
因此有 2分
所以当k>2时,,故对于AR(2)序列,偏自相关系数是两步截尾。
2分
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课程代号:
潍坊学院 2025- 2025学年第一学期期末考试
《应用时间序列分析》试卷(B卷)答案
考生答题不得过此线
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2. (1)本模型本身即为传递模式
6分
(2)此模型的逆转形式:
6分
3解:由
2分
得: 2分
进一步得到:,由此得到关于的二次方程
,
解之得:
, 3分
由于,
因此为的矩估计。 3分
为的矩估计。 2分
4 (1)可逆、平稳。 6分
(2)平稳、不可逆 6分