16. Design of Experiments

Chapter Learning Objectives

1. Quantify the value of proposed experiments or new measurements

2. Recommend experimental conditions that maximize information gain

Sections

• 16.1. Model-Based Design of Experiments

Coming Soon:

• Space-filling designs

• Classical DOE including factorial and partial factorial

• Model-based design of experiments for parameter precision (background)

• Model-based design of experiments for model discrimination (background and example)