Flexible, Interactive (Generalized Regression) Modeling with JMP Pro (ADDED FEE) — Professional Development Computer Technology Workshop
Generalized Regression - it sounds scary, but it's not. And Generalized Regression in JMP Pro can handle most common linear modeling exercises, plus so much more. Need to find the best set of predictors in a sea of possibilities (i.e., variable selection)? This platform can do that. Need to model a categorical response with more than two levels? Generalized Regression can do that. Have problems with non-normal responses like count data or yield percentage? Where other modeling methods fall down with these responses, Generalized Regression handles them with aplomb. If you're not using this platform, you're missing out. We will look at using Genreg to build models in a variety of settings: starting with an orthogonal designed experiment and moving to large observational data sets with correlated predictors. We will explore traditional methods and then venture into cool extensions that are simple to accomplish using Generalized Regression in JMP Pro. You will learn about generalized regression as a conceptual topic and about how to implement these ideas in JMP Pro during this Workshop.
Instructor(s): Ruth Hummel, SAS Institute, JMP Division; Clay Barker, JMP