Optimal Experimental Design for Non Linear Models : Theory and Applications This book tackles the Optimal Non Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities making it accessible to non mathematicians: Biologists Medical Statisticians Sociologists Engineers Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers. 1.Introduction 2. Motivation 3.Locally Optimal Designs 4.Static Design 5.Sequential Designs 6.Approximate Confidence Regions 7.Working with Data: Simulation Studies 8.A Case Study: Optimal Designs in Rythmometry 9.Discussion References A1.Caratheodory’s Theorem A2.Silvapulles Theorem A3.Conditional Inverse A4.Simulation I Results Tables 7.1 – 7.5 A5.Simulation II Results Tables 7.7 – 7.14.