JMP Pro for linear mixed models — Part 1

JMP Pro 11 has added a new modeling personality, Mixed Model, to its Fit Model platform. What’s a mixed model? How does JMP Pro fit such a model? What are the key applications where mixed models can be applied? In this and future blog posts, I will try to dispel […]

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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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Is big data a big deal?

Maybe… but messy data is a bigger deal. Big data hit mainstream over the past year or so. I know this because the BBC has produced several programmes covering it. What I’ve heard is that there is no clear definition of what big data is and why it is important. […]

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A bit on bootstrapping in JMP Pro

Bootstrapping is a popular resampling method for estimating the sampling distribution of a statistic. While the theory behind resampling methods dates back to Sir R.A. Fisher, bootstrap resampling was first proposed by Bradley Efron in the 1970s. Bootstrapping involves repeatedly sampling from a data set, with replacement, in order to […]

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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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What’s new in JMP 11 for Mac - part 2

In my previous blog post, I discussed the most recognizable enhancement in JMP for Mac OS X by highlighting some of the great session management features of the new Home Window. Here, we will look at some other added functionality for the Mac, as well as provide a sneak peek at […]

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New Imputation Add-In for JMP Pro

If you never have to deal with missing data, please count your blessings — nothing to see here today! However, for those of us who are not so lucky, I’ve got some good news: First, throughout JMP 11, we have added capabilities for dealing with missing data. The Reliability Growth […]

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New features for JMP 11 on Mac OS X - part 1

Welcome Home! Let me introduce you to the JMP Home Window for Mac OS X. When development began on JMP 11, the Mac OS X host development team started the process of investigating differences between our platform and the JMP product on Windows. We wanted to begin bridging the gaps […]

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Predictive modelling returns to the UK

We have had such a favourable response to our seminar on Building Better Models that we held our third one on 10 April, with nearly 100 people attending. It's become a global success, having been delivered 20 times throughout the world. The seminar is based on George Box's concept that […]

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