Nonlinear Regression

15. Nonlinear Regression#

Chapter Learning Objectives

  1. Regress nonlinear models

  2. Quantify uncertainty in regressed parameters and model predictions

Sections

Coming Soon:

  • Nonlinear regression theory including derivation of covariance matrix

  • Identifiability and sloppiness

  • Confidence ellipses

  • Nonlinear confidence regions

  • Maximum likelihood estimation