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Rick Wicklin 0
Where's Rick at SAS Global Forum 2014?

Once again I'll be at SAS Global Forum this year. The 2014 location is Washington, D. C., so I am looking forward to greeting many friends in the government and consulting sectors. I always enjoy talking with SAS customers about statistics, simulations, matrix computations, and the SAS/IML product, so here's

Analytics
Mike Hitmar 0
Quality needs a new paradigm

After decades of trying to "manage" and "control" quality, manufacturers continue to struggle with consistently achieving quality excellence. To conquer the realities of today's marketplace and achieve quality excellence, manufacturers need to adopt an analytic approach to quality. The basic objective of manufacturers hasn't changed since the beginning - produce

Rick Wicklin 0
Optimizing a function of an integral

Last week I showed how to find parameters that maximize the integral of a certain probability density function (PDF). Because the function was a PDF, I could evaluate the integral by calling the CDF function in SAS. (Recall that the cumulative distribution function (CDF) is the integral of a PDF.)

Analytics
David Pope 0
Did you know analytics did that?

It is always important to continue to sell the value of analytics within your organization, especially to your leaders.   Usually, these type of results are delivered via reports, dashboards, or emails.   However did you know that analytics: Detects when expensive machinery like electrical submersible pumps (ESP) or oil platforms need maintenance before

Rick Wicklin 0
Optimizing a function that evaluates an integral

SAS programmers use the SAS/IML language for many different tasks. One important task is computing an integral. Another is optimizing functions, such as maximizing a likelihood function to find parameters that best fit a set of data. Last week I saw an interesting problem that combines these two important tasks.

Data Visualization
Sanjay Matange 0
Axes Synchronization

Often we need to plot multiple response variables on Y axes by a common variable on X axis.  When the response variables are very different in magnitudes or format, we prefer to plot the variables on separate Y (Left) and Y2 (Right) axes. Here is some sample data with three response

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