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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

Technical Support Tip Choice of Continuous Response Distribution in Log-linked GLMs

When it comes to selecting a distribution to use when modeling a response, choosing a distribution that matches the observed mean-variance relationship is important. This note discusses and illustrates some tools for finding a suitable response distribution if it is not already known, including graphical and analytical methods.

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Tips and Techniques for Using the Random-Number Generators in SAS

SAS 9.4M5 introduced new random-number generators (RNGs) and new subroutines that enable you to initialize, rewind, and use multiple random-number streams. This paper describes the new RNGs and provides tips and techniques for using random numbers effectively and efficiently in SAS. Applications of these techniques include statistical sampling, data simulation, Monte Carlo estimation, and random numbers for parallel computation.

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Tutorials at Upcoming Fall Regional Conferences

WUSS 2018
Sept. 5–7, 2018 in Sacramento, CA
Gordon Brown presents Introduction to Mixed Models.

MWSUG 2018
Sept. 30 – Oct. 2, 2018 in Indianapolis, IN
Warren Kuhfeld presents Advanced ODS Graphics Examples.

SESUG 2018
Oct. 14–17, 2018 in St. Pete Beach, FL
Maura Stokes presents Modeling Longitudinal Categorical Response Data.

SCSUG 2018
Nov. 4–7, 2018 in Austin, TX
Michael Lamm presents Causal Analysis with Observational Data: Methods and Applications.


blog Filmmakers Brett Wujek and Patrick Koch, also known as Principal Data Scientist Wujek and Principal Machine Learning Developer Koch, were awarded the Audience Appreciation Award for Best Promotional Video based on their autotuning paper for the KDD conference in London this past week. This is the machine learning and data mining conference, with over 3,500 attendees. For some fun, watch their short piece on the need for autotuning.