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Welcome to Statistics and Operations Research

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 12.1 release:

SAS/ETS 12.1 introduces the TIMEDATA procedure and the SASEXFSD interface engine. There are also new Bayesian options, new variable selection methods, and p-values based on accurate high performance simulation methods for many popular test statistics.

SAS/OR 12.1 delivers a broad range of new capabilities and enhanced features, encompassing optimization, constraint programming, and discrete-event simulation. SAS/OR 12.1 enhancements significantly improve performance and expand your tool set for building, analyzing, and solving operations research models.

SAS/QC 12.1 provides three new procedures for multivariate process monitoring, as well as enhancements to the CAPABILITY, PARETO, and RELIABILITY procedures.

SAS/IML 12.1 includes new statistical functions, subroutines, and modules, support for additional distributions and parameters for generating random samples, and a new syntax for defining default parameter values in user-defined modules.

SAS/STAT 12.1 introduces new procedures for multivariate adaptive regression splines, quantile regression for survival data, effect selection for quantile regression, and standardized rates and risks for study populations.

Also, don’t forget to get up to speed with the SAS 9.22 and SAS 9.3 Analytical Products if you haven’t already done so.