The design of experiments blind spot

I once overheard someone call Arizona State University Professor Doug Montgomery their “DOE idol.” I’m sure others echo the sentiment because I’ve seen the warm welcome he receives at our JMP events when he discusses design of experiments (DOE). Most recently, I’ve seen him give keynote talks at Discovery Summit […]

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“Bolder” statistics with Karen Copeland

Dr. Karen Copeland will be our featured guest on Analytically Speaking on June 8. She is the owner of Boulder Statistics, a successful consultancy to a wide array of industry sectors around the world — medical device, diagnostics, chemicals, marketing, environmental, consumer and food products, pharmaceuticals, and web analytics, among […]

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The QbD Column: Split-plot experiments

Split-plot experiments are experiments with hard-to-change factors that are difficult to randomize and can only be applied at the block level. Once the level of a hard-to-change factor is set, we can run experiments with several other factors keeping that level fixed. To illustrate the idea, we refer in this […]

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Design of experiment: Analysis by model visualization

Last week, I described model visualization – which is simply applying data visualization to models – and explained why I find it useful. Designed experiments, especially small DOEs, are a perfect place to practice model visualization. Another term for this could be “analysis by Graph Builder.” I am not suggesting […]

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Proper and improper use of Definitive Screening Designs (DSDs)

In 2011, my colleague Prof. Chris Nachtsheim and I introduced Definitive Screening Designs (DSDs) with a paper in the Journal of Quality Technology. A year later, I wrote a JMP Blog post describing these designs using correlation cell plots. Since their introduction, DSDs have found applications in areas as diverse […]

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Better hard-boiled eggs with our eggsperiment

In my post last week, I discussed our latest eggsperiment with hard-boiled eggs – and now it’s time for the results! As a reminder of the factors, we had hard-to-change factors: Cooking Start (Hot/Cold) Cooking Time (10 minutes, 12 minutes, 14 minutes) Salt (0 tsp, ½ tsp, 1 tsp) Vinegar […]

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Eggstra! Eggstra! A new designed eggsperiment

It’s been years since I last dyed Easter eggs, but this year we decided to give it a try. This means I’ve suddenly found the need to hard-boil some eggs. One of my favorite experiments that I’ve blogged about was the eggciting eggsperiment, so it’s the perfect time to revisit […]

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Analyzing a 4-factor definitive screening design with diecast cars data

When I created the four-factor definitive screening design discussed in my previous blog post, I was excited to try out the new technique that Bradley Jones presented at the JMP Discovery Summit. Looking at the dyed cars, I noticed some promising results and a wide array of colors. The new […]

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A 4-factor definitive screening design as a response surface design alternative

I’ve been a huge fan of definitive screening designs from the moment I first read about them. I’ve also been excited by Bradley Jones' new approach for analyzing definitive screening designs. As my second experiment with dyeing toy cars had promising results, it seemed like the right time to better […]

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Chocolate Bar Smackdown: US vs. Canada

How do you like your coffee? I like my Coffee Crisp. Of all the commercials from my childhood, this is one of the few catchphrases that I remember. I suspect most readers have no idea what I’m talking about – (although it does exist in the UK and for a short period […]

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