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JMP 13 Predictive and Specialized Modeling
book

JMP 13 Predictive and Specialized Modeling

by SAS Institute
September 2016
Intermediate to advanced content levelIntermediate to advanced
366 pages
9h 24m
English
SAS Institute
Content preview from JMP 13 Predictive and Specialized Modeling
Chapter 13 
Nonlinear Regression
Fit Custom Nonlinear Models to Your Data
The Nonlinear platform is a good choice for models that are nonlinear in the parameters. This chapter focuses on custom nonlinear models, which include a model formula and parameters to be estimated. Use the default least squares loss function or a custom loss function to fit models. The platform minimizes the sum of the loss function across the observations.
Figure 13.1 Example of a Custom Nonlinear Fit
Example of a Custom Nonlinear Fit
The Nonlinear platform also provides predefined models, such as polynomial, logistic, Gompertz, exponential, peak, and pharmacokinetic models. See the “Fit Curve” chapter ...
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Publisher Resources

ISBN: 9781629605883