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Rick Wicklin 0
The area under a density estimate curve

Readers' comments indicate that my previous blog article about computing the area under an ROC curve was helpful. Great! There is another common application of numerical integration: finding the area under a density estimation curve. This article provides an overview of density estimation and computes an empirical cumulative density function.

Analytics
Alison Bolen 0
A future with analytic music

Contributed by Thornton May, IT Futurist On June 15, 2011 twenty plus analytic pioneers from twelve different vertical markets convened to explore the current state and future trajectory of enterprise analytics. Each participant in The SAS Power Series event brought with them intellect, energy, curiosity and a challenge. During the

Rick Wicklin 0
Overlaying two histograms in SAS

A reader commented to me that he wants to use the HISTOGRAM statement of the SGPLOT procedure to overlay two histograms on a single plot. He could do it, but unfortunately SAS was choosing a large bin width for one of the variables and a small bin width for the

Rick Wicklin 0
Pre-allocate arrays to improve efficiency

Recently Charlie Huang showed how to use the SAS/IML language to compute an exponentially weighted moving average of some financial data. In the commentary to his analysis, he said: I found that if a matrix or a vector is declared with specified size before the computation step, the program’s efficiency

Rick Wicklin 0
A statistical analysis of coupons

Each Sunday, my local paper has a starburst image on the front page that proclaims "Up to $169 in Coupons!" (The value changes from week to week.) One day I looked at the image and thought, "Does the paper hire someone to count the coupons? Is this claim a good

Analytics
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What kind of information would you like?

Organizations have become good at finding answers to questions. Where they need to improve is in asking the right questions, according to Dries Van Nieuwenhuyse, General Manager Performance Management USG People Interservices NV. “IT people tend to be applied scientists whose job is to answer specific questions but in analytics,

Learn SAS
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SAS Press to debut new statistical titles at JSM 2011

The 2011 Joint Statistical Meetings (JSM) will be from July 31-August 3 in Miami Beach. Look for acquisitions editor and SAS Press conference mega-maven Shelley Sessoms at the SAS Publishing booth (#504). Shelley can talk with you about: New and forthcoming statistics-related books from SAS Press, including Statistical Analysis for

Analytics | Risk Management
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Risk: confident or complacent?

A panel of risk experts gave their reaction to the publication of the fifth global risk management survey report undertaken by SAS and the Economist Intelligence Unit. The report suggests that while lessons have been learned, some institutions may be sliding into complacency. At any rate, risk appetites are growing

Rick Wicklin 0
Enumerating levels of a classification variable

A colleague asked, "How can I enumerate the levels of a categorical classification variable in SAS/IML software?" The variable was a character variable with n observations, but he wanted the following: A "look-up table" that contains the k (unique) levels of the variable. A vector with n elements that contains

Chris Hemedinger 0
Moved again. Did you blink and miss it?

Sometime very recently, probably while you weren't looking, I changed jobs at SAS (yes, again). This time it's a bigger change for me, because I'm no longer part of the SAS R&D organization, where I've worked for nearly 14 years. Instead, I'm part of the team known internally as Professional

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