An eggciting designed eggsperiment

A typical scene in my kitchen: I make a batch of hard-boiled eggs with the hope of an easy peel and a beautifully cooked center. But when I sit down to enjoy my egg, I find that, sadly, it’s not so easy to peel – or I have discoloration around the […]

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Teaching with JMP, part 2

After writing the post on Teaching statistics with JMP last month, I didn’t think about a follow-on post since we had so many wonderful comments. But when we heard from Roger Hoerl at Union College about the thesis his student, Keilah Creedon, wrote (using JMP for the designed experiment part), […]

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Mmm cookies: a tale of discrete numeric variables, disallowed combinations and alias optimality

When I was in graduate school, one of my hobbies was to bake cookies for the department. For one of the basic chocolate chip cookie recipes, it wasn’t uncommon to switch the chocolate chips with another ingredient that was on sale that week (I was a grad student, after all). […]

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Alias Optimal versus D-optimal designs

In my previous blog entry, I discussed the purpose of the Alias Matrix in quantifying the potential bias in estimated effects due to the alias terms. In this blog post, we look at an example that creates a D-optimal design and an Alias Optimal design with the same number of […]

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What is an Alias Matrix?

When I create a design, the first place I typically look to evaluate the design is the Color Map On Correlations. Hopefully, I see a lot of blue, implying orthogonality between different terms. The Color Map On Correlations contains both the model terms and alias terms. If you have taken […]

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Here's help with screening experiments

As we head into February, your 2014 goals are likely already made, and the work on meeting those goals has begun in earnest. For many scientists and experimenters, that means designing the first set of experiments for projects. Many times, those experiments will be screening experiments, experiments designed to identify […]

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Creating a space-filling design for a map shape

One of my favorite new features in JMP 11 design of experiments is the Fast Flexible Filling (FFF) design in the Space Filling Design platform. When the JMP 11 Previews were released, Brad Jones showed an example of using FFF designs to place air quality monitors over the state of […]

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JMP 11: Custom Design power calculations – Part II

Last week, I wrote about the Custom Design user interface for power calculations that is new for JMP 11. My goal for this week’s blog post is to explain how to interpret the new power analysis for the two-level screening designs including screening with hard-to-change factors. What is so different […]

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JMP 11: Custom Design user interface for power calculations

Last year, I wrote two blog posts about power analysis for designed experiments. Since then, JMP 11 was released, and the user interface for power analysis in the Custom Designer changed. This post introduces the new interface and shows how to use it profitably. Why did you change the interface? […]

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Sharing best practice in design of experiments in UK

JMP was delighted to welcome Peter Goos and Bradley Jones, two thought leaders in the area of design of experiments (DOE), to our Marlow office in the UK last week to talk about best practice in DOE. Box, Hunter and Hunter explained in their seminal text, Statistics for Experimenters, that […]

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