Free Shipping* & 5% Rewards On Every Order* With Club O

Applied Data Mining for Forecasting Using SAS (Paperback)

Out of Stock

Club O Gold Members Earn

$3.04 | 5% Rewards*




5% Rewards

Earn even faster

Free Shipping

Never pay extra*

Exclusive Rewards

Save big-- up to 40%

Exclusive Offers

Straight to your inbox

5% Dining Rewards

Get paid to go out tonight

ITEM# 14581545
    Notify me when it is back in stock!

    Enter your email address, we will notify you if it comes back in stock.

Love this item?

Save it to a list so you can find it anytime!


something went wrong.

Please refresh the page and try again.


ITEM#: 14581545

Tim Rey Tim Rey is Director of Advanced Analytics at The Dow Chemical Company, where he sets strategy and manages resources to deliver advanced analytics to Dow for strategic gain. A SAS user since 1979 and a JMP user since 1986, he specializes in JMP, SAS Enterprise Guide, SAS/STAT, SAS/ETS, SAS Enterprise Miner, and SAS Forecast Server software. He received his MS in Forestry Biometrics (Statistics) from Michigan State University. A co-chair of M2008 and F2010, he presented keynote addresses at PBLS 2007, M2007, and A2007 Europe. In addition, he is co-author of several papers, has appeared on multiple panels, and has given numerous talks at SAS conferences and other events as well as universities. Arthur Kordon 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 software, 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 a frequent presenter at computational intelligence conferences around the world. Chip Wells Chip Wells has over 15 years of experience in implementing theoretical and applied econometrics using the SAS programming language and SAS Solutions. He was a Statistical Services Specialist in the SAS Education Division where he instructed and consulted with analysts from the Federal government and the financial, health care, oil, gas, and transportation industries. He is currently a Principal Analytic Consultant in the SAS Advanced Analytics Lab where he develops solutions that focus on time series analysis of financial variables and on building forecast models using sentiment data. Chip holds a PhD in Economics and an MA in Economics with a Statistics minor from North Carolina State University.
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. 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. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs.


ISBN 9781607646624
Genre COMPUTERS / Mathematical & Statistical Software
Format Paperback
Pages 324
Publisher Date 2012-08-06 00:00:00.0
Publisher Sas Inst
Copyright Year 2012
Height 11.0 in
Wdth 8.5 in
Thickness 0.75 in
Unit weight 1.72 lb
Language English
Audience College/higher education
Authors Rey, Tim
Country of Origin United States

Questions & Answers

Yay! Be the first to ask a question about this product.

Shopping Tips & Inspiration

Shipping & Returns

Contact Information
This product is not yet released, and is expected to ship on Aug. 1, 2012.

This date is subject to change. In order to assure you receive's low price on this item, your credit card will be charged upon order placement. The item will ship immediately upon release.

Standard Return Policy:

Items must be returned in new or unused condition and contain all original materials included with the shipment. More Details

FINAL SALE EXCLUSION: Items marked as FINAL SALE are not returnable unless the problem you experience is the result of our error.

For your protection, all orders are screened for security purposes. If your order is selected for review, our Loss Prevention Team may contact you by phone or email. There may be a two business day delay to process your order.

** Most Oversize orders are delivered within 1-4 weeks. Some orders may take 6 weeks to be delivered.