A Case Study in Using JMP® Statistical Tools to Tackle Chemical Engineering Challenges
Here are the journals shared in A Case Study in Using JMP Statistical Tools to Tackle Chemical Engineering Challenges, a two-part webinar hosted by AIChE.
Here are the journals shared in A Case Study in Using JMP Statistical Tools to Tackle Chemical Engineering Challenges, a two-part webinar hosted by AIChE.
JMP is expanding distance learning support to help instructors with the transition from classroom to online teaching. Read about free online resources and the support provided by the JMP Academic Team.
Pharmaceutical Process Development QbD Risk Assessments: What, Why, and How
Same vs. similar: Are shallots “close enough” to serve as a substitute for red onions?
Why limit yourself?
In this post, the third in the Analytics with Confidence series, we continue with the case study on reaction recipes and introduce holdback validation as a simple tool for building models that you can trust.
The fourth installment on how to use JMP's Nonlinear platform to fit a piecewise continuous function to an X-Y data set. Read on to see how well this algorithm does at fitting our sample data!Figure 1: Sample Data Set.
https://community.jmp.com/t5/JMP-Blog/Piecewise-Nonlinear-Solutions-Part-4-Using-JMP-s-Nonlinear/bc-p/687309 Here we decide which functions to use with each "piece" of the piecewise fit, with the goal of minimizing SSE for the existing data.
Setting up your Preferences in JMP will ensure you are looking at the outputs that are the most consistently helpful. This also results in time savings by minimizing the number of mouse clicks.
We look at a data set with some curious anomalies and see how you can use JMP and Explore Patterns to identify the anomalies.
Learn to use JMP Search feature.
Recently, in two separate conversations with JMP users, the question arose "Can the FDE platform use functional data as inputs for building a model instead of as outputs?" The answer is yes. Read on to find out how.
Vector plots show arrows on a two-dimensional plot and allow one to see four dimensions of data: x position, y position, arrow angle, and arrow length. Equivalently, the four dimensions can be x start position, y start position, x end position, and y end position. The latter form is most convenient for JMP. Though JMP doesn't have a menu command to create vector plots, arrows can be added to alm...
Previous posts in this series have set up a problem that requires a Piecewise fit, and showed the equations that we will use to fit the data. But we are presented with a number of unknowns. How do we get JMP to solve for these unknowns? We start by using JMP's Formula Editor!
In today’s uncertain economic times, everyone is being asked to “do more with less.” Regardless of role or industry, we're all expected to find ways to become more efficient, improve processes, and drive growth for our organizations. This two part webinar series shows attendees how JMP can help see them see their data more clearly, easily interpret and share collaborative discoveries, and make ins...
Workflow builder – available now with JMP 17 – records all steps in your data preparation and analysis workflows so that your process can be easily packaged, shared, and reproduced.
I had the exciting opportunity to attend the 2022 CDISC board meeting and US Interchange virtually last October and present a talk titled “Trace CDISC Application in FDA NDAs and CRs for Clinical Trial Safety.” My presentation was based on a paper written by our team titled, “CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation,” which will be published soon in a special CDISC ...