CFA考试
报考指南考试报名准考证打印成绩查询备考资料考试题库

重置密码成功

请谨慎保管和记忆你的密码,以免泄露和丢失

注册成功

请谨慎保管和记忆你的密码,以免泄露和丢失

What are the anomalies in the time series data?

帮考网校2020-10-10 14:41:02
|
Anomalies in time series data are data points that deviate significantly from the expected pattern or trend of the data. These anomalies can be caused by a variety of factors, such as errors in data collection, changes in the underlying process being measured, or external events that affect the data. Some common types of anomalies in time series data include:

1. Spikes or sudden jumps in the data
2. Dips or sudden drops in the data
3. Seasonal fluctuations that are larger or smaller than expected
4. Outliers that are significantly higher or lower than the rest of the data
5. Trend changes or shifts that occur over time
6. Missing data points or gaps in the time series.
帮考网校
|

推荐视频

推荐文章

  • 暂无文章

推荐问答

  • 暂无问答