nav[aria-label="Primary Navigation"] { padding: 0; & ul { list-style: none; width: 100%; display: flex; flex-direction: row; justify-content: start; align-items: start; gap: 30px; padding: 0; & li { margin: 0; } & ul li { list-style: none; } } }

558868_en-US

liliconcom

Specification and estimation of models

Discover the wide variety of JMP modeling options.

Explore the various Fit Models 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

Outline of categorical response models

Estimate model: Logistics
Estimate model: Stepwise
Partition: classification tree
Neural

Hints to predictive models / Machine Learning in JMP Pro

This video is currently being processed. Please try again in a few minutes.

(view in My Videos)

Basic Data Analysis and Modeling

Italian

Comments

There are no comments yet