| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 835.0KB PDF | Date added | 27 Feb 2009 |
| Topics | Graphics Applications, Data Mining - Analysis, Data Visualization | ||
| Downloads | 7 | ||
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 one 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.
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