Overview of the Time Series Forecasting System

Using The Time Series Forecasting System

Chapters 23 through 27 contain a series of example sessions that show the major features of the system. Chapters 28 through 30 serve as reference chapters and provide more details on how the system operates. The reference chapters contain a complete list of Forecasting system features.

To get started using the Time Series Forecasting system, it is a good idea to work through a few of the example sessions. Start with Chapter 23, "Getting Started with Time Series Forecasting," and use the system to reproduce the steps shown in the examples. Continue with the other chapters when you feel comfortable using the system.

The example sessions make use of time series data sets contained in the SASHELP library: air, citimon, citiqtr, citiyr, citiwk, citiday, gnp, retail, usecon, and workers. You can use these data sets to work through the example sessions or to experiment further with the Forecasting system.

Once you are familiar with how the system operates, start working with your own data to build your own forecasting models. When you have questions, consult the reference chapters mentioned above for more information about particular features.

The Time Series Forecasting system forecasts time series, that is, variables comprised of ordered observations taken at regular intervals over time. Since the Forecasting system is a part of the SAS software system, time series values must be stored as variables in a SAS data set or data view, with the observations representing the time periods. The data may also be stored in an external spreadsheet or data base if you license SAS/ACCESS software.

The Time Series Forcasting System chapters refer to series and variables. Since time series are stored as variables in SAS data sets or data views, these terms are used interchangeably. However, the term series is preferred when attention is focused on the sequence of data values, and the term variable is preferred when attention is focused on the data set.

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