The well-appointed analytic workbench

What do I mean by “analytic workbench?” Basically, the compute-resource environment with which data analysis takes place. How would you describe some of the analytic workbenches in your organization? Not everyone is a power analyst, so not everyone requires power tools. But all of us deal with data at some [...]

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Time to move from SPSS to JMP

Jason Brinkley, an Assistant Professor of Biostatistics at East Carolina University, recently recorded a set of videos for JMP titled “Moving from SPSS to JMP,” which address the differences between the two software packages. After taping, Jason answered some questions that dig a little deeper into these differences. What differences [...]

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Box & Lucas: Designed experiments for nonlinear models

All this month, I’m writing about George E.P. Box, as part of the celebration of the International Year of Statistics. Last week, I wrote about Box-Behnken designs for fitting response surface models. In this post, I want to tell you about the paper Box wrote in 1959 with H. L. [...]

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JMP data modeling challenge launched by ENBIS

ENBIS, the European Network for Business and Industrial Statistics, has launched the next JMP Challenge sponsored by JMP. You have until June 15 to submit your solution showing how to turn data into practical value. The ENBIS Challenge by JMP is a yearly activity aimed at promoting sound practices of [...]

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Making change happen in teaching statistics

Educators from around the world will gather this week at the Embassy Suites Hotel and Conference Center in Research Triangle, NC, to attend this year’s US Conference on Teaching Statistics (USCOTS), May 16-18. They will hear from thought leaders and practitioners such as Xiao-Li Meng, Dean of Harvard University’s Graduate [...]

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Celebrating George Box and Box-Behnken designs

As part of the International Year of Statistics, the JMP Blog is honoring influential statisticians each month. Professor George E.P. Box is the honoree for May. Last week, I wrote about on the first of his two-part paper with J. Stuart Hunter on the family of regular two-level fractional factorial [...]

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Celebrating statisticians: George E.P. Box

In this International Year of Statistics, we at JMP are celebrating famous statisticians on a monthly basis. This month is my turn, and early this year I chose Professor George E.P. Box as the subject of my celebration. I was looking forward to writing this piece because I knew George [...]

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Is your data too precise?

There is usually a desire to have the most precise measurement of any measurement. In theory, that is good, but for the purposes of data analysis, more precision isn’t always better.   It is usually best to examine any continuous variable and determine a reasonable precision for the recorded values. [...]

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Analyzing adverse events using Bayesian hierarchical models

You may be asking yourself… “Two Bayesian posts in a row? What is going on?” Though my statistical training focused on Frequentist methodologies, I am a big believer in using whatever tools help me gain insight into the statistical problem I happen to be focusing on at the moment. Frequentist [...]

Using JMP to evaluate MCMC diagnostics

It’s no secret that JMP excels in the visual exploration of data. There’s a healthy dose of statistics, too. But when asked about Bayesian methods, JMP is probably not the first software package that comes to mind. JMP 10 does contain Bayesian D-optimal and I-optimal designs in our design of experiments (DOE) features, [...]

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