Tag: Design of Experiments (DOE)

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A process for statistical discovery with JMP

When working with users new to JMP, I find it helpful to have a simple process to guide statistical discovery. We statisticians could debate the process of statistical discovery for a long time, but I find the process presented in Figure 1 works for most situations. Assuming we have already

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At the cutting edge of designed experiments

Beginning today, the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK, is hosting a workshop on recent advances in methods and applications of designed experiments. Naturally, JMP, which is so strong in design of experiments (DOE), is there -- represented by Bradley Jones, DOE expert and Principal Research Fellow

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Bradley Jones co-authors new design of experiments book

A new book by Bradley Jones, principal research fellow, and Peter Goos is out this week: Optimal Design of Experiments: A Case Study Approach. “Design of experiments is a powerful tool for understanding systems and processes….Our view is that optimal design of experiments is an appropriate tool in virtually any

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Catapulting to Success with Design of Experiments

Sarah Flexman is an 11-year-old middle-school student who uses JMP … for design of experiments … with proven success. A student at East Garner Magnet Middle School in North Carolina, she is an accomplished singer, flute player and athlete. Her father, Greg Flexman, uses JMP in his work leading the

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Mixture Design Demos

Interested in DOE for mixture designs? Looking for tips on when and how to create simplex centroid, simplex lattice, ABCD and extreme vertices mixture designs? Want to review the case studies Lou Valente presented at his March 3 webcast, which is part of our weekly (into May 2011) live Mastering

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References from Feb. 24 Mixture Designs Webcast

In his March 24 live webcast demo on Mixture Designs, Lou Valente referred to the work of John Cornell and promised to point you to data that you can use to try the Custom Design and Mixture platforms in JMP for yourself. Groupy and Creighton cover mixture design basics, in

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What Factors Affect Office Temperature? Data Collection and Cleaning

This post is the second in a series that will show how we conducted an observational study about office temperatures, from design to execution to analysis and visualization. For the first post, see Part I. In the previous post, we discussed what factors might affect office temperatures. We used JMP’s

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What Factors Affect Office Temperature? A Design in JMP

Weekday summer afternoons will usually find me in my office, huddled under a blanket. I work on the fourth floor of Building S on the SAS campus, with most of the other JMP staff. It seems cold in my office in the afternoons, especially in summer. I’ve discovered I’m not

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Article on Split-Plot Designs Is Honored Again

It's the article that keeps winning awards. Published in October 2009 in the Journal of Quality Technology, "Split-Plot Designs: What, Why, and How" by Bradley Jones and Christopher J. Nachtsheim won the Brumbaugh Award from ASQ this year. Jones, a Research Fellow at JMP, and Nachtsheim, a professor in the

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Learn Conjoint (Discrete Choice) Experimental Design and Analysis

Conjoint designs are planned experiments that determine the features people want in a product and what they are willing to pay for them. Market researchers show respondents a controlled set of potential products or services and then analyze how respondents make preferences. On April 12, Leo Wright demonstrated how to

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