Expand Your Analytic Skills
Using Generalized Regression in JMP® Pro to Create Robust Linear Models (Advanced)
June 13, 2019 | 2 PM ET (11 AM PT)
JMP Pro implements generalized regression to model complex data where response variables have arbitrary distributions. Generalized regression handles data that traditional methods cannot handle, such as multicollinearity in model inputs, and provides better screening for the most important factors than traditional methods. See several case studies that show how to use generalized regression to rapidly build models interactively using JMP Pro.
This webinar covers: screening for the most important factors; running and plotting generalized regression diagnostics for binomial, zero-inflated, Cauchy, beta and exponential distributions; modifying tuning parameters; and addressing effect heredity, inverse prediction and forced effects.
Register now for this free, one-hour, interactive webinar.
Date: Thursday, June 13, 2019
Time: 2 PM ET (11 AM PT)