This guest blog post comes from Dr. David Dickey, one of our original SAS Press authors. Hope you enjoy! In the late 1970s, shortly after SAS was founded, I was approached by Herbert Kirk and John Brocklebank from SAS to put together a course on time series. This was reasonably
In October I will be at the Analytics 2015 conference in Las Vegas. I’ve never been to Las Vegas before. People tell me that if you are better than average in forecasting where a small ball will end up after it’s been spinning for a while in a dish with
Charlie Chase is considered an expert in sales forecasting, market response modeling, econometrics and supply chain management. Now he's sharing some of his expertise in his Business Knowledge Series (BKS) course, Best Practices in Demand-Driven Forecasting. I had the chance to ask him some questions about his course and the
This week's SAS tip is from Applied Data Mining for Forecasting Using SAS by Tim Rey, Arthur Kordon, and Chip Wells. Whether you're a forecasting practitioner, engineer, statistician, or economist, you'll appreciate the many real-world examples in the book. And hopefully this free excerpt. The following excerpt is from SAS Press
The farther you try to forecast into the future, the less certain you are -- how can you represent that graphically? One way is to draw a shaded/colored "confidence interval" around your forecast line, but this is something a lot of SAS users have trouble with. That's why I decided to create
A big part of "winning" these days (be it sports or a business) is performing analytics better than your competition. This is demonstrated in awe-inspiring fashion in the book (and movie) "Moneyball." And on that topic, I'd like to show you a few ways SAS can be used to analyze sports data
In the course of my job, I get to have a lot of conversations with authors about their books. One of the aspects of those conversations I enjoy most is learning about their areas of expertise and knowledge—that could be certain SAS software or programming techniques, particular fields of analytics,
Dear Miss SAS Answers, I am having a tough time developing SAS code to determine volatility ( i.e.: the moving standard deviation using GARCH approach). I need a conditional volatility measure of exchange rate from past 40 years. I have data from the past 50 years, and I would like to determine volatility using
