JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13.2 Online Documentation
Design of Experiments Guide
• Nonlinear Designs
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Nonlinear Designs
Design of experiments with models that are nonlinear in their parameters is available using either the DOE menu or the JMP Starter DOE category.
Nonlinear designs offer both advantages and disadvantages compared to designs for linear models.
On the positive side, predictions using a well chosen model are likely to be good over a wider range of factor settings. It is also possible to model response surfaces with more curvature and with asymptotic behavior.
On the negative side, the researcher needs a greater understanding of both the system and of the nonlinear design tool.
Contents
Examples of Nonlinear Designs
Using Nonlinear Fit to Find Prior Parameter Estimates
Creating a Nonlinear Design with No Prior Data
Creating a Nonlinear Design
Identify the Response and Factor Column with Formula
Set Up Factors and Parameters in the Nonlinear Design Dialog
Enter the Number of Runs and Preview the Design
Make Table or Augment the Table
Advanced Options for the Nonlinear Designer