Tag: Statistics

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The power of passion and curiosity

Walt Disney once said, “We keep moving forward, opening up new doors and doing new things, because we're curious and curiosity keeps leading us down new paths.” Curiosity and passion can be powerful levers in opening new doors, making new discoveries and doing better — so says Jason Brinkley, Senior

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New book gift ideas for analytical friends and family

Having polled some of my erudite friends and colleagues as well as having finished some noteworthy books these last several months, I developed a book list that may help with your holiday shopping (even if it’s for yourself). In preparing this list, I thought it might be useful to include

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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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Baby not sleeping well? Design of experiments to the rescue!

DOE (design of experiments) certainly helps make the world a better place in big important ways, but it can also add to your personal quality of life. In addition to the practical and clever experiment designs that developers Ryan Lekivitz and Melinda Theilbar have recently discussed here in the JMP

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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

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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

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The QbD Column: Response surface methods and sequential exploration

George Box and K.B. Wilson introduced the idea of response surface methodology in a famous article[1] in 1951. There were several novel and extremely useful ideas in the article: Designed experiments can be a great tool in experimentally optimizing conditions. When feedback is rapid, there are great benefits to breaking

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