SAS Institute Inc. has long developed software for data analysis,
econometrics, operations research, and
quality improvement. The purpose of these pages is to provide technical
information about using this software to our users, including detailed software capabilities,
examples, papers, and an associated e-newsletter.
These products have recently been updated to the 9.3 release:
SAS/ETS 9.3 introduces copulas and tools for state space modeling and forecasting of time series and longitudinal data.
SAS/OR 9.3 includes new network simplex linear programming algorithms and performance improvements for all optimization solvers.
SAS/QC 9.3 enables you to monitor multivariate process variation over time and to fit Gumbel, inverse Gaussian, generalized Pareto, power function, and Rayleigh distributions. There are also new parametric models for recurrent events and lifetime data.
SAS/IML 9.3 enables you to call SAS procedures and DATA steps as well as interface with the R language.
SAS/STAT 9.3 provides finite mixture models, shared frailty models, and random effects for Bayesian models.
Also, don’t forget to get up to speed with the SAS® 9.22 Analytical Products if you haven’t already done so.