Welcome to Statistics and Operations Research

SAS has long developed software for data analysis, econometrics, operations research, and quality improvement. The purpose of these pages is to provide our users with technical information about using this software, including details about software capabilities, examples, papers, e-newsletter, and communities.

Featured News

9.4 logo SAS/STAT Users Moving to the SAS 9.4 Platform?

If you are moving up to SAS 9.4 and would like to catch up on the recent SAS/STAT releases on that platform, this handout is for you! Get an overview of our new additions in missing data analysis, modern survival data analysis, statistical modeling, spatial point pattern analysis, Bayesian analysis, item response analysis, classification and regression trees, and performance enhancements. There's truly something in there for everyone. And if you aren't currently on the move, feel free to use this handout however it helps you to get into the passing lane!

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Tech Support Points Out

The shortest path problem is to find the path between nodes in a graph such that the sum of the weights (such as costs) is minimized. Examples of shortest path problems include driving directions, network routing, operating schedules, and social networking. PROC OPTMODEL can be used to find the shortest path in a graph. Beginning in SAS 9.3 TS1M2, PROC OPTNET can also be used for this purpose.

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blog image Blogs from the Analytics Division at SAS

Rick Wicklin's The DO Loop blog discusses statistical programming in SAS with an emphasis on SAS/IML programs. Current postings include Wicklin giving you the inside scoop on Stephen Curry’s basketball shooting, including the fact that his probability of making a shot from the left side barely depends on the distance from the hoop. Wicklin also describes how to share SAS/IML programs by creating packages with the PACKAGE statement and shows how you can visualize missing data with SAS.

Visit The DO Loop.

The Operations Research at SAS blog explores the use of operations research modeling methods and solution algorithms in optimization, simulation, scheduling, and related areas. Recent postings include solving a golf puzzle with mixed integer linear programmming.

Visit Operations Research at SAS.