15. Nonlinear Regression

Chapter Learning Objectives

1. Regress nonlinear models

2. Quantify uncertainty in regressed parameters and model predictions

Sections

• 15.1. Transformations and Linear Regression
• 15.2. Weighted Linear Regression
• 15.3. Nonlinear Regression
• 15.4. Nonlinear Regression Practice Problem
• 15.5. Monte Carlo Uncertainty Analysis for Nonlinear Regression
• 15.6. Nonlinear Regression Case Study: Adsorptive Nanoporous Membranes

Coming Soon:

• Nonlinear regression theory including derivation of covariance matrix

• Identifiability and sloppiness

• Confidence ellipses

• Nonlinear confidence regions

• Maximum likelihood estimation