Specialized Models • Nonlinear Regression with Built-In Models
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Nonlinear Regression with Built-In Models
Analyze Models with the Fit Curve Platform
In many situations, especially in the physical and biological sciences, well-known nonlinear equations describe the relationship between variables. For example, pharmacological bioassay experiments can demonstrate how the strength of the response to a drug changes as a function of drug concentration. Sigmoid curves often accurately model response strength as a function of drug concentration. Another example is exponential growth curves, which can model the size of a population over time.
The Fit Curve personality does not require you to specify starting values for parameter estimates or create model formulas. To specify your own starting values and create model formulas, use the more powerful custom Nonlinear personality, which can also fit any nonlinear model. For details, see the Nonlinear Regression with Custom Models section.
Example of Nonlinear Fit in the Fit Curve Personality
Contents 
Introduction to the Nonlinear Fit Curve Personality
Example Using the Fit Curve Personality
Launch the Nonlinear Platform
The Fit Curve Report
Fit Curve Options
Model Formulas
Test Parallelism
Compare Parameter Estimates
Equivalence Test