Tag: Statistics

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Train, Validate and Test for Data Mining in JMP

Data mining is looking for patterns and relationships in (sometimes large volumes of) data. Many methods, such as recursive partitioning and neural nets, are extremely sensitive to the sample of data being mined. How do you know if you are creating a model that would be useful for predicting future

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Get Head Start on Fall Semester with JMP Seminar This Summer

It’s a great time to learn about how to use JMP, either for teaching your course or doing your homework. The JMP Academic team will be presenting the online seminar titled JMP Basics for Professors and Students three times this summer: June 22, July 21 and August 17. If you

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Making Statistics Fun -- Can You Help?

While searching the Web for jokes and amusing videos for students considering studying statistics, I came across a cool video in which Oxford mathematician Peter Donnelly talks about stats and gives some examples of common mistakes people make when interpreting stats. In the last eight minutes, he describes a famous

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Visual Six Sigma -- Tips for Measurement Phase Using JMP

I chatted with Malcolm Moore, JMP Technical Manager for Europe, about the Scientific Computing article by Mark Anawis: "Six Sigma in the PC World -- Investigational approach benefits from the power of statistical tools." Anawis describes how statistical tools, including JMP, can be used as part of the DMAIC methodology.

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Explore the New JMP Learning Library

The JMP Academic Team is proud to announce the initial release of the JMP Learning Library on our Web site. We created the Learning Library to provide resources for professors and for students who are taking introductory statistics courses. Of course, if you are an old timer like me, you

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A Brief Demo of Neural Nets in JMP

Often we assume there is a complicated relationship between explanatory variables and responses. In these cases, neural networks (neural nets) are useful and can enable us to predict responses from a flexible network of functions of input variables. Neural nets can efficiently and flexibly model different response surfaces when it

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University Student Used JMP in Research That Won Prize

Until recently, Emma Lookabaugh had never even heard of JMP. After using it for the first time this spring in an award-winning research project, she has become a fan. Emma is a senior at NC State University in Raleigh, North Carolina, not far from JMP offices at SAS headquarters. Hailing

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Bradley Jones Wins ASQ Brumbaugh Award

The winners of ASQ’s prestigious Brumbaugh Award for 2009 are Bradley Jones, PhD, Principal Research Fellow in the JMP Division of SAS, and Christopher J. Nachtsheim, PhD, Carlson School of Management at the University of Minnesota. They co-wrote an article titled “Split-Plot Designs: What, Why, and How” that was published

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Principal Variance Components Analysis

Apart from truly novel and innovative breakthroughs, a basic recipe for scientific research is: Combine two or more established methods that have evolved independently, leveraging particular strengths of each. Give the new combination a clever name. Publish the heck out of it. In this blog post, I’d like to highlight

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Tools to Help Teach JMP

In a recent live Webcast for faculty and students, I showed teaching modules developed by Amy Froelich (Iowa State University) and Bill Duckworth (Creighton University) that were programmed by Wayne Levin and Brian McFarlane (Predictum Inc.). Here I show how to invoke these modules (which are encrypted JMP scripts) or

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