Time Series 简明教程

Time Series - Applications

我们在本教程中讨论了时间序列分析，它使我们理解了时间序列模型首先根据现有观测识别趋势和季节性，然后基于该趋势和季节性预测一个值。这种分析在各个领域比如以下领域中很有用 −

We discussed time series analysis in this tutorial, which has given us the understanding that time series models first recognize the trend and seasonality from the existing observations and then forecast a value based on this trend and seasonality. Such analysis is useful in various fields such as −

  1. Financial Analysis − It includes sales forecasting, inventory analysis, stock market analysis, price estimation.

  2. Weather Analysis − It includes temperature estimation, climate change, seasonal shift recognition, weather forecasting.

  3. Network Data Analysis − It includes network usage prediction, anomaly or intrusion detection, predictive maintenance.

  4. Healthcare Analysis − It includes census prediction, insurance benefits prediction, patient monitoring.