This weekend features one of my all-time favorite sporting events: the golf US Open (plus Father’s Day on Sunday provides a convenient guilt-free excuse to actually watch it). This year, the tournament is held at the Bethpage Black course just outside of New York City. It has a classic sign:
Referring to JMP as "an old friend," statistician John Wass reviewed JMP 8 for Scientific Computing and calls it a "major upgrade." The review includes several visualizations and covers many of the major new features of JMP 8. Wass concludes: "This latest version is stunning in the quality of the
Thanks for the enlightening comments to my blog post "I Like 3-D Pie Charts" and for the new graphs. While the bar charts from Joe and John are very nice, I prefer vertical bars because of their connection with the gravity orientation of trees, mountains, buildings and of course cell-phone
NOTE: This entry comes to the JMP Blog from our colleague Jerome Bryssinck of SAS Belgium. Jerome had seen Jeff Perkinson's examples of basketball analytics using JMP and created his own example using football (or soccer) data. In response to comments from readers, Jerome updated his model on May 26,
When asked if I miss being the lead developer of mixed model software at SAS, I usually reply “yes and no.” The “yes” comes from feeling very fortunate to have been involved with this powerful methodology throughout my nearly 20 years at SAS and a part of the strong legacy
The front page of the Wall Street Journal on March 13 highlighted an "$11 Trillion Hole" and said "Americans See 18% of Wealth Vanish." I looked at the chart, and the 2008 number indeed looked as if it had fallen off a cliff. But then I looked at the rest
More than 70 people gathered at SAS headquarters last Friday to hear Dr. William Meeker, Professor of Statistics at Iowa State University, talk about reliability analysis. Following a hot breakfast, attendees watched Meeker's presentation covering the principles behind probability plots, multiple failure modes analysis and accelerated life testing. For each
After the sticker shock has worn off or the glow of a good deal fades into dullness, customers are left with a product that they expect will meet their needs. A large number of product designers and manufacturers that deliver great products that their customers love use JMP for reliability
JMP® 8 offers a new capability to generate simultaneous prediction intervals, which are very useful when making claims about the future performance of small lots of products. In the latest edition of his white paper Statistical Intervals: Confidence, Prediction, Enclosure (PDF file), José Ramírez updates his examples to incorporate simultaneous
A growing number of heroes are rising up from their cubicles at many companies. They provide a sorely needed competitive edge in these trying economic times, yet only the most enlightened companies fully embrace them. In fact, most people find them intimidating. So, who are these heroes of commerce, praised