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Shelly Goodin 0
SAS author's tip: The concept of a sampling distribution

This week's tip is from Professor Willbann D. Terpening and his book Statistical Analysis for Business Using JMP. If you're intrigued by the following excerpt, visit Terpening's author page for additional bonus book content. And take a look at his previously featured tip The Student t-distribution, on this blog: The following excerpt is from

Aimee Rodriguez 0
What you need to know about predictive analytics

Jean Paul Isson (Global Vice President of Business Intelligence and Predictive Analytics, Monster Worldwide, Inc.) and Jesse Harriott (Chief Analytics Officer, Constant Contact) know a thing or two about business analytics. With almost 40 years of experience between them, they've handled it all—from web mining solutions to business intelligence, predictive

Catherine Truxillo 0
Analytics 2012: From big data to big buffets

The Analytics conference wrapped up another successful year. One of the last things I did in Las Vegas was decompress with some colleagues at the Bacchanal buffet at Caesar’s Palace. It is, in a word, Bacchanal. Now back to the meat of the conference. The keynote from William Hakes was

Randy Collica 0
Understanding your customers

So this is my first blog entry relating to my book Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition. If you’ve read or are reading my book, I sincerely hope it aids in your understanding of your customers, clients, patients, etc.  I originally wrote this book because when

Aimee Rodriguez 0
Top 3 updates to Categorical Data Analysis Using SAS

Categorical Data Analysis Using SAS has been a favorite among SAS Books readers for quite some time, both as a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Maura Stokes is lead author of the recently published third edition. I

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