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Mike Gilliland 0
The predictive power of nonsense

The 2012 US Presidential race comes to a close today (thankfully), and there is no shortage of wacky indicators predicting the winner: Iowa Electronic Markets FiveThirtyEight PollyVote University of Colorado In primitive times a diviner could foretell the future by poisoning a chicken -- whether it lived or died provided

Rick Wicklin 0
Constructing common covariance structures

I recently encountered a SUGI30 paper by Chuck Kincaid entitled "Guidelines for Selecting the Covariance Structure in Mixed Model Analysis." I think Kincaid does a good job of describing some common covariance structures that are used in mixed models. One of the many uses for SAS/IML is as a language

Advanced Analytics
Rick Wicklin 0
Compute the log-determinant of a matrix

The determinant of a matrix arises in many statistical computations, such as in estimating parameters that fit a distribution to multivariate data. For example, if you are using a log-likelihood function to fit a multivariate normal distribution, the formula for the log-likelihood involves the expression log(det(Σ)), where Σ is the

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3 things you should know about The Little SAS Book, Fifth Edition

You’ve known it, you’ve loved it. Your copy’s pages are worn, torn, or coffee-stained, and yet it’s still as beloved as ever. It’s your Little SAS Book. It belongs on every SAS programmer’s bookshelf, and it’s now even better. Susan Slaughter and Lora Delwiche have worked to help you improve

Learn SAS
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

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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

Rick Wicklin 0
That distribution is quite PERT!

There are a lot of useful probability distributions that are not featured in standard statistical textbooks. Some of them have distinctive names. In the past year I have had contact with SAS customers who use the Tweedie distribution, the slash distribution, and the PERT distribution. Often these distributions are used

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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

Mike Gilliland 0
New book: Supply Chain Forecasting Software

In 2011 I came across Shaun Snapp’s blog (scmfocus.com), and immediately took a liking. In particular, I was drawn to his independent and critical tone, and a willingness to challenge the “objectivity” of many commentators and advisors in the forecasting industry. He also takes a reasoned look at the common

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