题目
单项选择题
Based on the following graph, which of the following is true?
选项
A.While we cannot say for certain, the series appears to be covariance stationary
B.The series is not covariance stationary because of obvious trending
C.The series is not covariance stationary because of obvious trending and seasonality
D.The series is not covariance stationary because of excessive volatility

查看解析
标准答案
Please login to view
思路分析
Starting with option-by-option analysis to understand what the graph implies about covariance stationarity:
Option 1: 'While we cannot say for certain, the series appears to be covariance stationary.' The plotted series shows a clear upward trend rather than fluctuations around a constant mean, which is characteristic of nonstationarity. Therefore this statement is unlikely ......Login to view full explanation登录即可查看完整答案
我们收录了全球超50000道考试原题与详细解析,现在登录,立即获得答案。
类似问题
Would it be convenient to use a machine learning model directly on the time series below? I No, because the level of the time series is too high, going beyond 4000. II No, because the time window of the time series is too wide. III No, it would be better to test for the non-stationarity of the time series and transform it before applying any model. IV Yes, machine learning can deal with any type of time series without problems.
What is the primary characteristic of a stationary time series?
How would you characterize such a time series :
A random walk process (no drift!) has mean zero, that's why it's weakly stationary but not strong (strict) stationary
更多留学生实用工具
希望你的学习变得更简单
加入我们,立即解锁 海量真题 与 独家解析,让复习快人一步!