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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Dinosaurs, chaos and statistics (oh, my!)

“They believed that prediction was just a function of keeping track of things. If you knew enough, you could predict anything. That's been cherished scientific belief since Newton.” “And?” “Chaos theory throws it right out the window.” - Michael Crichton, Jurassic Park I’ve been thinking a lot about chaos lately. […]

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NCSU leads the pack in statistics conference contest

I zone out when my colleagues go on and on about North Carolina college basketball. With mascots like Blue Devils and Demon Deacons, you’d think it would be more fun to me than it is. Add to that the fact that my university days were not spent at any of […]

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Munich votes for new mayor – First run-off election in 36 years

Elections are a beloved but controversial topic worldwide. Feelings are often strong, debates intensify on a daily basis, and positions become polarized. Elections for presidents or parliaments get a lot of attention from both news media and citizens. But I believe local elections can be fascinating as well. That’s why […]

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Extending Capability Animation with an add-in: Interactively exploring the impact of proposed process changes

In quality improvement, it’s common to talk about the "voice of the process" (intrinsic variation in the outputs of an in-control process) and the "voice of the customer" (specification limits that express the range of output values customers will not be unhappy with). A capability analysis compares these two "voices," […]

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Fitting distributions in JMP

Most statistical procedures benefit from understanding the underlying population distribution, or at the very least offering reassurance that our assumptions about those distributions are valid. JMP provides a number of ways to easily explore and investigate distributional assumptions. In this post, I provide information on fitting continuous or discrete distributions […]

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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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What-if analysis with JMP (no spreadsheets) -- Part 5

Last week, I showed how the Excel Add-In for JMP can bring more value to Excel spreadsheets for what-if analysis and optimization. Today, we’ll look at how using that same data from within JMP alone is more elegant. First, let’s look at the Excel spreadsheet from last week's post (see […]

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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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