When a complex phenomenon is studied it is common to run experiments in order to fit a model. In such situations experimental designs can be used to find a maximum of information in a minimum of trials. This is of prime importance when the goal is to save time or improve quality. This book is structured in four parts: a general presentation of the method and mathematical background, experimental designs for
quantitative factors, experimental designs for qualitative factors, and optimality of experimental designs. Numerous examples are introduced in order to illustrate the applications and mathematical proofs for most of the results are given in appendices.