Advanced Analytics Leader, Dow Chemical Company
Arthur Kordon is Advanced Analytics Leader at the Dow Chemical Company, where he delivers solutions based on advanced analytics to Dow businesses, improves existing methods, consults, and teaches different levels of advanced analytics classes. Well versed in JMP, SAS Enterprise Guide, SAS Forecast Server, and SAS Enterprise Miner, he is the author of Applying Computational Intelligence: How to Create Value (2009), as well as ten book chapters and more than seventy journal and conference papers. Kordon received an MSc in electrical engineering from the Technical University of Varna, in Varna, Bulgaria, and a PhD in the same field, specializing in adaptive control systems, from the Technical University of Sofia, in Sofia, Bulgaria. He is frequent presenter at computational intelligence conferences around the world.
By This Author
Applied Data Mining for Forecasting Using SAS®
Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large and identifies the correlation structure between selected candidate inputs and the forecast variable.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.