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Model specification and estimation

Discover JMP's wide variety of modeling options.

Explore the various Model Estimator 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 – main factors (screening)
Model estimation: Stepwise – main factors (screening)
Model estimation: Ordinary least squares – response surface (optimization)
Partition: regression tree
Neural

Notes on categorical response models

Model estimate: Logistics
Model estimation: Stepwise
Partition: classification tree
Neural

Overview of Predictive Models/Machine Learning in JMP Pro

Basic Data Analysis and Modeling

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