Model Fitting and Data Analyses in SAS/ETS Software Using ODS Statistical Graphics
Jan Chvosta and Mark Little, SAS Institute, 2009
Graphical visualization of statistical results is increasingly important in all areas of data analysis, and SAS/ETS® procedures now provide graphical output for many kinds of econometric and time series models. Correct use of these features helps you to diagnose data patterns and choose appropriate models. In this paper, several SAS/ETS procedures (including the AUTOREG, PANEL, UCM, and SIMILARITY procedures) are used to demonstrate a graphical diagnostic tool for effective modeling of cross-sectional, time-series, and panel data. The emphasis of the paper is on correct model selection and effective use of SAS/ETS software.