Fun and effective: Teaching statistics with JMP

JMP has a growing fan club of people who are passionate about the software as a great teaching tool to more easily convey statistical concepts. Colleagues on our global academic team and I pooled some comments from noteworthy educators about why they like teaching with JMP.   “In the early […]

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See optimal settings with JMP Pareto Efficient Frontier

Pareto Efficient Frontier (PEF) is becoming an increasingly popular tool for measuring and selecting project or design parameters that will yield the highest value at the lowest risk. PEF is being used widely in many industrial areas, such as when selecting the best exploration projects in oil and gas, finding […]

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Using JMP to visualize a solid state drive reconditioning process

This past week, I noticed that my computer had seriously slowed down. My usual tasks seems to be taking forever, and even my standard JMP demos were taking quite a bit longer than I was used to. I tried the normal things such as repairing permissions, checking the memory, seeing […]

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JMP Pro for linear mixed models — Part 3

This is the final post in my JMP for Linear Mixed Models series (see my earlier posts: Part 1 and Part 2). Here, I will show an example of spatial regression, followed by some tips for fitting mixed models in JMP Pro.  Example 4: Modeling geospatial data — taking spatial […]

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JMP Pro for linear mixed models — Part 2

In an earlier blog post, I introduced the new Mixed Model capability in JMP Pro 11 and showed an example of random coefficient models. In this post, I continue my discussion of using mixed models for repeated measures and panel data. I’ll leave modeling geospatial data as well as tips […]

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Using Neural platform in JMP Pro for automated creation of validation column

JMP Pro is a great tool for quickly building multiple models with your data using a variety of techniques, namely tree-based methods (Boostrap Forest, Boosted Tree options in the Partition platform), neural networks and penalized regression (using the Generalized Regression personality in Fit Model). When building predictive models, you need […]

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Ruining a perfectly good family gathering with mixed models

Over this past holiday season at a gathering, my family and I thought it might be fun to do a wine tasting. Some members wanted to just open different bottles of wines and talk about ones that we liked while catching up and having a relaxing Saturday. But I suggested […]

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Marketing in the winter sports season

Understanding your customers has always been important, but it's even more so when marketing products and services related to winter snow sports. Winter sports can have a short season and a limited number of consumers. How do you find them, identify their needs, create new promotions and assess whether the […]

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Eric Siegel: Analytics is not "weird, difficult or boring"

Eric Siegel, PhD, is founder of Predictive Analytics World and Text Analytics World, as well as Executive Editor of the Predictive Analytics Times, and former professor at Columbia University. His new book on predictive analytics has been very well-received, and we thought JMP Blog readers would enjoy hearing from him. […]

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Scenario-based planning & optimization in Excel & JMP -- Part 4

Over the past few weeks, we’ve looked at the rise of Excel’s usage and popularity, and I've noted that Excel has made forays into analytics. Today, we’ll look at one type of analysis: scenario-based planning and optimization. Using Excel add-ins, you can create what-if analysis and scenario-based planning using Monte […]

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