Tag: Statistics

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Just in time for big data: Graphicacy levels rising

Editor's Note: This post originally appeared in an International Institute of Analytics blog and is cross-posted here because of its likely appeal to JMP Blog readers. As someone who studied economics, I came to appreciate the amount of information that can be nicely distilled into a well-chosen graph — relationships with

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Fighting crime using geospatial analysis in JMP

I’ve been looking into crime − 9,134 rows of crime to be exact. After reading about geospatial analysis of crime in The Police Chief magazine, I decided to do this in JMP. So, I downloaded all of the individual crime incidents from April 2012 from the San Francisco government data website. Then, I began

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Constructing a custom design with 2 nested random blocking factors

My previous post demonstrated some advantages of designed experiments using random blocks rather than the more traditional fixed blocks. My main point was that random blocks can allow for more cost-effective experiments because they require fewer runs for a given set of factors and model specification. There is another advantage

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Job posting: Analytics software tester at JMP

Good news! I have a JMP job listing to share with you. This time, it's a software testing job in JMP R&D. Here's the description of the job from the SAS Careers site (where all JMP jobs are posted): "As a JMP Analytics Software Tester, you will validate statistical features

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Pair wins ASA Statistics in Chemistry Award

Scott Allen of Novomer and Bradley Jones of JMP have won the American Statistical Association's 2012 Statistics in Chemistry Award. Allen is co-founder and Vice President of Catalyst Development for Novomer, a Massachusetts-based sustainable chemistry company and JMP customer. Jones is Principal Research Fellow at JMP and a renowned expert

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Summer Games 2012 – athlete analytics with JMP

The opening ceremony of the London 2012 Summer Games begins today and while looking for news about the games, events and the schedule, I found an interesting set of blog posts on The Guardian website, which made available several data sets relating to the games. The author of this article,

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Benefits of experiment design using random blocks

“The most commonly used class of experimental design in many industrial laboratories is the two-level factorial.” – Greenfield (1976). This bold statement was true in 1976, and I would not be surprised if were still true today. Certainly, two-level factorial designs are a standard feature in a first course in

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Looking forward to Joint Statistical Meetings (JSM)

It’s that time of year again -- we’re all gearing up for the Joint Statistical Meetings (JSM), this time in San Diego. JSM week has always been one of my favorite times of year. For us JMP R&D folks, JSM is a great change of pace: We put our sales

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