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 […]

Post a Comment

Why model visualization is integral to model building

Model visualization? Data visualization has gained traction in the past few years, with numerous interesting books and talks focusing on improving our data visualization skills. JMP’s own Xan Gregg recently spoke about data visualization on Analytically Speaking). Model visualization is simply applying data visualization to models. When I can “see” […]

Post a Comment

Analyzing Manning and Brady over the years

If you follow pro football (and probably even if you don't), you know that last night the Denver Broncos beat the New England Patriots to earn their spot in Super Bowl 50. But as if a shot at the Super Bowl wasn't big enough, this game meant even more than […]

Post a Comment

So, you like hearing from our developers

Last year, you heard from many people in JMP Development here in this blog. And it turns out you liked that best! Almost all of the top 10 posts of 2015 were written by R&D folks, and that's not a surprise. Our developers have tons of useful information and examples, […]

Post a Comment

Dyeing diecast vehicles redux: The results

Last time, I discussed setting up a new stage of experimentation for dyeing diecast vehicles. Not everything went as planned, but there were some positive results. I took the alias optimal design from the previous blog post and used a column shuffle to randomize the rows (it was sorted by […]

Post a Comment

Dyeing diecast vehicles with DOE redux

In a previous experiment, my father and I changed the color of diecast cars by placing them in fabric dye. A recent visit from my father allowed us to undertake the next experiment in our dyeing journey with some new ideas from my colleague Lou Valente. With the information gained […]

Post a Comment

Making the world a better place: David Trindade on improving quality, reliability and more

David Trindade, Chief Officer of Best Practices at Bloom Energy, knows a lot about creating value. He is internationally renowned for his expertise in reliability analysis and has been honored with the IEEE Reliability Society 2008 Lifetime Achievement Award. He co-authored a valued resource for reliability engineers, Applied Reliability, now […]

Post a Comment

Rocket science where you may not expect it

Fluid dynamics of peanut butter, biomechanics of diapers, aerodynamics of packaging potato chips, precision engineering to produce and perfectly perforate paper towels — rocket science is applicable to the manufacturing of these and many other products in ways that may surprise you. Achieving desired product attributes can be challenging, especially […]

Post a Comment

Potato chip smackdown: A generalized regression analysis

At this year’s JMP Discovery Summit in San Diego, there were plenty of fantastic talks. After completing the tasting portion of the potato chip smackdown, one that stuck out for me was my colleague Clay Barker’s presentation on using the Generalized Regression personality in the Fit Model platform in creative […]

Post a Comment

Beyond Spreadsheets: Amy Clayman, Voice Systems Engineering

“When building a predictive model, we find the JMP Pro interfaces to be very intuitive, allowing us to work closely with other JMP Pro users to build the model together.” -- Amy Clayman, Data-Driven Decisions Circle, VSE Beyond Spreadsheets is a blog series that highlights how JMP customers are augmenting […]

Post a Comment