Upcoming Complimentary Live Webinars
Register for individual webinars by choosing a title below. Or, register for multiple webinars. These sessions are presented in English during the US workday.
Local-language live Zoom webinars are also offered in the UK, Western Europe and Asia. See your country jmp.com/mastering site.
- Advanced Developer Tutorials: Using Generalized Linear Mixed Models to Model Experiment Designs that include Non-Gaussian Responses and Random Effects Dec. 1 | 11:00 am ETJMP Pro 17 Generalized Linear Mixed Model capability within Fit Model enables fitting of models with both non-Gaussian response variables and random design effects, such as blocking. Properly fitting a GLMM yields accurate hypothesis testing and/or estimation with appropriate standard errors for confidence intervals. The Key Developer of JMP GLMM capabilities demonstrates how to use the techniques, including how to fit Poisson or Binomial responses with fixed and/or random model effects. She explains how to interpret the statistics and probabilities. She describes why and how the development team implemented GLMMs, including handling multiple comparisons, data scale estimates, standard errors and confidence intervals.
- Advanced Developer Tutorial: Modeling Spectral Data Using JMP Pro 17 Dec. 8 | 11:00 am ETJMP Pro makes it easy to directly model using curved or spectral data in designed experiments and machine learning applications. Chris Gotwalt, JMP Chief Data Scientist, and Ryan Parker, Senior Research Statistical Developer, give an overview of functional data analysis in JMP Pro. They will focus on new capabilities in JMP Pro 17, such was wavelet analysis, that make it easier than ever to analyze spectral data from NMR, mass spectroscopy, chromatography, and many other types of analysis common in the chemical, pharmaceutical, and biotech industries. They explain how and why JMP Pro handles these data. The session includes time for Q&A.