Celebrating women in science and engineering
Do you want to improve your ability to use scripting to automate and enhance JMP? Have you thought about joining the JMP Scripters Club, but the early morning meetings (for U.S. western time zones) made it a non-starter? Read on to learn about the brand-new Western Chapter and more agreeable meeting times. Since JMP 4 was released in 2000, JMP users have been able to automate and extend JMP's c...
Did you know that a few years ago, a new HIV drug was released but was only licensed for men to use because it hadn't been tested for women, despite the fact that women are the majority of those living with HIV globally? This anecdote highlights the crucial importance of inclusivity in research and innovation, which is covered in the new edition of Stats Matter, JMP's LinkedIn newsletter, publi...
The Prediction Profiler has undergone many generations of improvements over the years, and even more features and functionality have been added in JMP 18.
探索NBA從2004年到2023年的常規賽投籃數據,從400萬條記錄中揭示籃球宇宙的奧秘。使用JMP強大的視覺化功能,從投籃命中率到球隊的戰術偏好,一覽籃球場上的精彩瞬間和戰術創新。
The reliability of particular parts is related to cyclic loads of stress and is determined by the stress level. Fatigue modeling is relevant for a whole host of products using metal, including bridges, springs, turbine blades, airplane wings, tooling devices, and any product made with metals and other materials subjected to tension, compression, shear, bending, or torsion. The relationship between...
JMP developers have designed all the model fits in the JMP Pro FDE platform to rely on basis function expansion, a method for capturing non-linear relationships using a set of independent functions. Why? Not all data contributing to a problem, or resulting from a process, are equal, such as functions, signals, spectra, or series defined over continuums like time, spatial location, and wavelengths....
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.