Statistics & Operations Research Applications

The ADX Interface is a point-and-click interface for the design and analysis of experiments. It is designed primarily for engineers and researchers who require an interface for each stage of the experimental process, from building the designs and determining significant effects to optimization and reporting.

The Time Series Forecasting System is a point-and-click system that provides automatic model fitting and forecasting as well as interactive model development. The system provides a completely automatic forecasting model selection feature that selects the best-fitting model for each time series. Or, you can use system features to identify series behavior, fit candidate forecasting models, and perform diagnostic checks on the fitted models.

SAS® Forecast Server generates large quantities of high-quality forecasts quickly and automatically, allowing organizations to plan more effectively for the future. The unsurpassed scalability of SAS Forecast Server enables your business to operate more efficiently at all levels by quickly and automatically producing statistically based forecasts you can trust. SAS Forecast Server bundles the  SAS High-Performance Forecasting engine with the SAS Forecast Studio GUI.

SAS Simulation Studio is a Windows® 32-bit Java^™-based application for building and working with discrete event simulation models. Its graphical user interface provides a full set of tools for building, executing, and analyzing the results of discrete event simulation models. SAS Simulation Studio is designed to integrate with both SAS® and JMP® (statistical discovery software from SAS) for statistical analysis of simulation results; it also can interface with JMP to generate experimental designs.