Design and Analysis of Experiments 2015 conference

A long, long time ago, I was a new statistics PhD student attending my first conference. To say I was intimidated is putting it mildly: Top researchers in experimental design and analysis from around the globe were scheduled to be at this conference. How would I be able to talk […]

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The eggciting results of my designed eggsperiment

In my previous blog entry, I talked about my frustrations in making good-looking hard-boiled eggs that were easy to peel. My Internet searches found a number of different techniques that cooks said were essential to success, but I wanted to know which techniques were best. So I set up a […]

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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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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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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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Determining chemical concentration with standard addition: An application of linear regression in JMP

One of the most common tasks in chemistry is to determine the concentration of a chemical in an aqueous solution (i.e., the chemical is dissolved in water, with other chemicals possibly in the solution). A common way to accomplish this task is to create a calibration curve by measuring the […]

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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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