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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

Learn SAS
Maggie Miller 0
Getting answers with econometrics

Someone once boiled down econometrics for me by explaining -- it’s all about answering the “why.” It’s especially important for companies wanting to know the answers to important questions like… Why are customers buying this product? Why are customers not buying my product? If you’re ready to start investigating the

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.)

Learn SAS
Michael A. Raithel 0
SAS tourism

How do they spell “SAS” in Japan?  What does the Japanese version of the SAS Display Manager look like?  How is a SAS programming class conducted in Tokyo?  These may sound like pretty random questions, but I found myself wondering about them as I began preparing for my trip to

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.

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