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Model specification and estimation

Discover the wide variety of modeling options in JMP.

Explore the various Model Estimation features available and learn when and how to use the most useful ones on continuous and/or categorical data.

Topics covered in the webinar:

Case study description
Continuous response models

Model Estimation: Ordinary Least Squares – Principal Factors (Screening)
Model Estimation: Stepwise – Main Factors (Screening)
Model Estimation: Ordinary Least Squares – Response Surface (Optimization)
Partition: Regression Tree
Neural

Introduction to categorical response models

Model estimate: Logistic
Model estimate: Stepwise
Partition: classification tree
Neural

Predictive Modeling/Machine Learning Overview in JMP Pro

Basic Data Analysis and Modeling

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