Last week, SAS and JMP hosted Interface 2011: Statistical, Machine Learning, and Visualization Algorithms, 42nd Symposium on the Interface. The deep statistical issues were mostly over my head, but I found enough discussion of visualizations to keep me interested. Leland Wilkinson shared his recent research on Venn diagrams, which may
Tag: Statistics
We are seeing lots of interest in a new illustrated white paper that is available for download: Moving from SPSS to JMP: A Transition Guide by Dr. Jason Brinkley of the Department of Biostatistics at East Carolina University. As its title indicates, the purpose of the paper is "to transition
Have you checked out the JMP Learning Library lately? Designed for students in introductory statistics courses – or anyone new to JMP – the Learning Library provides short guides, tutorials and links to other resources for getting started with JMP. Now, we all know that JMP is easy to use.
The editor of the KD Nuggets newsletter, Gregory Piatetsky-Shapiro, Ph.D., has attracted quite a number of subscribers over the years with a variety of interesting news items, polls and topics. It's hard to believe he is now posting the 12th annual poll on Data Mining / Analytic Tools Used. Despite
Are you teaching regression analysis in a course? Or are you interested in developing a better understanding of regression concepts yourself? The new Demonstrate Regression teaching module may be just what you need. Statistician and JMP training specialist Mark Bailey and I, along with professors Amy Froelich from Iowa State
While I was working in the JMP booth at SAS Global Forum a couple of weeks ago, quite a few people stopped by to ask me about books. What books about JMP are there? What are the best books to learn JMP? I can answer the first question myself. We've
Basic statistics webcasts always draw a large crowd, new questions and interesting tips. Sam Gardner’s April 7 webcast was no exception. Sam started with distributions. He mentioned the CTRL broadcast command, where for certain reports, holding the CTRL key, clicking the red triangle and then selecting the command applies the
What a pleasure to hear Dr. Ramon Littell’s perspective on The Evolution of Linear Models at SAS Global Forum yesterday. Dr. Littell is the recently retired chair of the Department of Statistics at the University of Florida (my home state). His analogy to “the perfect storm” was appropriate for the
In 1962, a psychological experiment was performed on 30 students. Thankfully, no one was delivering or receiving electric shocks (as in the famous Milgram experiment that was carried out in 1961). Instead, each student was asked to look at pictures of a woman making faces and rate the facial expression
In regression problems, we are often faced with choosing a set of predictor variables from what may be a very large set of candidate predictors. When building our model, we want to find a meaningful set of predictors that yields accurate predictions. Classical methods like forward selection and all-subsets regression