Forecasting with SAS (free eBook)


Forecasting with SAS®: Special Collection

Forecasting with SAS: Special Collection book coverSAS Press has added to its selection of free downloadable eBooks with the new Forecasting with SAS®: Special Collection.

From the description:

Want to get the most insight out of your data and improve the quality of your forecasts? SAS offers many different solutions to quickly generate reliable forecasts. This special collection includes papers that explore how to monitor and improve forecasts. You will also learn about the latest features of SAS® Forecast Server, SAS® Visual Forecasting, SAS® Econometrics, SAS/ETS®, and SAS® Enterprise Guide® to help you get the most out of your data.

We've assembled eleven recent papers by SAS authors (from R&D, product management, consulting, and marketing), with special emphasis on the increasing role of machine learning methods in forecasting, and using SAS with open source. Table of contents:

  • Foreword
  • Scalable Cloud-Based Time Series Analysis and Forecasting Using Open-Source Software
    By Javier Delgado, Thiago Quirino, and Michael Leonard
  • Time Series Feature Extraction
    By Michele A. Trovero and Michael J. Leonard
  • Writing a Gradient Boosting Model Node for SAS® Visual Forecasting
    By Yue Li, Jingrui Xie, and Iman Vasheghani Farahani
  • Neural Network–Based Forecasting Strategies in SAS® Viya®
    By Steven C. Mills
  • Ten Underused Features That Improve Your SAS® Forecast Server Workflow
    By Michael Leonard and Evan Anderson
  • Using SAS® Forecast Server and the SASEFRED Engine to Enhance Your Forecast
    By Catherine LaChapelle
  • Regime-Switching Models: Capturing Structural Changes in Time Series
    By Xilong Chen and Ji Shen
  • Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures
    By Gerhard Svolba
  • Monitoring Forecast Models Using Control Charts
    By Joseph Katz
  • Assisted Demand Planning Using Machine Learning for CPG and Retail
    By Charlie Chase, Varunraj Valsaraj, Becky Gallagher, and Roger Baldridge
  • What Management Must Know About Forecasting
    By Michael Gilliland
  • Appendix

Experienced SAS forecasting users may find some new ideas to employ, and those unfamiliar with SAS will get a sense of our wide ranging capabilities.

Find more free downloadable eBooks in the Special Collection series at

SAS Launches Free AI-Driven Environment to Mine COVID-19 Research

As long as we are on the topic of free, SAS has announced the launch of a new AI-driven environment to mine COVID-19 research.

Covid19 Screenshot

Sign up for your free access to the COVID-19 Scientific Literature Search & Text Analysis environment.


About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is a longtime business forecasting practitioner and formerly a Product Marketing Manager for SAS Forecasting. He is on the Board of Directors of the International Institute of Forecasters, and is Associate Editor of their practitioner journal Foresight: The International Journal of Applied Forecasting. Mike is author of The Business Forecasting Deal (Wiley, 2010) and former editor of the free e-book Forecasting with SAS: Special Collection (SAS Press, 2020). He is principal editor of Business Forecasting: Practical Problems and Solutions (Wiley, 2015) and Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Wiley, 2021). In 2017 Mike received the Institute of Business Forecasting's Lifetime Achievement Award. In 2021 his paper "FVA: A Reality Check on Forecasting Practices" was inducted into the Foresight Hall of Fame. Mike initiated The Business Forecasting Deal blog in 2009 to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

Comments are closed.

Back to Top