tailieunhanh - SAS/ETS 9.22 User's Guide 263

SAS/Ets User's Guide 263. Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments | 2612 F Chapter 39 Getting Started with Time Series Forecasting This chapter outlines the forecasting process and introduces the major windows of the system through three example sessions. The first example beginning with the section The Time Series Forecasting Window shows how to use the system for fully automated forecasting of a set of time series. This example also introduces the system s features for viewing data and forecasts through tables and interactive graphs. It also shows how to save and restore forecasting work in SAS catalogs. The second example beginning with the section Develop Models Window introduces the features for developing the best forecasting models for individual time series. The chapter concludes with an example showing how to create dating variables for your data in the form expected by the system. After working through the examples in this chapter you should be able to do the following select a data set of time series to work with and specify its periodicity and time ID variable use the automatic forecasting model selection feature to create forecasting models for the variables in a data set produce and save forecasts of variables in a data set examine your data and forecasts as tables of values and through interactive graphs save and restore your forecasting models by using project files in a SAS catalog and edit project information use some of the model development features to fit and select forecasting models for individual time series variables This chapter introduces these topics and helps you get started using the system. Later chapters present these topics in greater detail and document more advanced features and options. The Time Series Forecasting Window There are several ways to get to the Time Series Forecasting System. If you prefer to use commands invoke the system by entering forecast on the command line. You can optionally specify additional information on the command line see Chapter 44 Command Reference for details. If .