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Rick Wicklin 0
Does this kurtosis make my tail look fat?

What is kurtosis? What does negative or positive kurtosis mean, and why should you care? How do you compute kurtosis in SAS software? It is not clear from the definition of kurtosis what (if anything) kurtosis tells us about the shape of a distribution, or why kurtosis is relevant to

Analytics
Waynette Tubbs 0
Chasing analytic talent

Companies like Amazon, Netflix, Zappos and Pandora have changed what consumers expect from a brand – they want brands to “know” what they want before they ask for it. To provide those kinds of personalized products and services, brands have to collect and analyze huge quantities of customer and industry

SAS Events
Marje Fecht 0
My five favorite memories of MWSUG 2014

The Chicago weather cooperated for MWSUG 2014 with nice crisp fall temperatures, clear skies and beautiful sunrises over the lake.  Aside from the weather, here are my five favorite memories of MWSUG 2014:  1. Location-location-location. The location and venue were fabulous! Not only were we along the Chicago River with a beautiful

Rick Wicklin 0
Wolfram's Rule 30 in SAS

My previous blog post describes how to implement Conway's Game of Life by using the dynamically linked graphics in SAS/IML Studio. But the Game of Life is not the only kind of cellular automata. This article describes a system of cellular automata that is known as Wolfram's Rule 30. In

Data Visualization
Sanjay Matange 0
Report from MWSUG 2014

The Mid-West SAS Users' Group conference in Chicago was a great success, with over 400 attendees and great weather.  The conference hotel was in downtown with nice view of the river and a stroll down "Magnificent Mile".  The city does a great job with the flower beds down Michigan Ave., along

Rick Wicklin 0
Fat-tailed and long-tailed distributions

The tail of a probability distribution is an important notion in probability and statistics, but did you know that there is not a rigorous definition for the "tail"? The term is primarily used intuitively to mean the part of a distribution that is far from the distribution's peak or center.

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