Practical Time Series Analysis

Models for time series analysis

The purpose of time series analysis is to develop a mathematical model that can explain the observed behavior of a time series and possibly forecast the future state of the series. The chosen model should be able to account for one or more of the internal structures that might be present. To this end, we will give an overview of the following general models that are often used as building blocks of time series analysis:

• Zero mean models
• Random walk
• Trend models
• Seasonality models