Parameter Estimation

In this section we describe how to perform parameter estimation using DEDiscover. Parameter estimation is the process of fitting the equations to the data by optimizing and objective function based on values to the model parameters and, in some cases, initial values for the dependent variables.

• Tabs Involved in Estimation
• Estimation Parameters Tab
• Estimation Methods Tab
  • Objective Function
  • Solver
  • Confidence Interval
  • Options for the Optimizer
• Estimation Results Tab
  • Fit Information
  • Estimated Parameters
  • Fixed parameters
  • Add and Simulate Button
• Available Optimization Methods
  • Trust-Region Method
  • Differential Evolution Estimator
• Confidence Interval Methods
  • Fisher’s Information Method