In our previous blog post, we wrote about using designed experiments to develop analytic methods. This post continues the discussion of analytic methods and shows how a new type of experimental design, the Definitive Screening Design[1] (DSD), can be used to assess and improve analytic methods. We begin with a
The purpose of screening in designed experiments is “to separate the vital few factors that have a substantial effect on the response from the trivial many that have negligible effects….The definitive screening design can reliably accomplish the task of screening even if there are a couple of second-order effects,” wrote
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
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
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
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
Scientists and engineers often need to find the best settings or operating conditions for their processes or products to maximise yield or performance. I will show you how the optimisation capabilities in JMP can help you work out the best settings to use. Somewhat surprisingly, the particular settings that are
The JMP team held a seminar on Sept. 17 in France that focused on design of experiments. Bradley Jones and Peter Goos led this half-day event, and they covered various aspects of design of experiments using four different case studies. They introduced the definitive screening design, which is new in
In my two previous posts, I introduced the correlation cell plot for design evaluation and then showed how to use the plot to compare designs. Here, I want to use the same plot to show why definitive screening designs are, well, definitive. For a complete technical description of definitive screening