This book is the second English edition of my German textbook that was originally written parallel to my lecture “Design of Experiments” which was held at the University of Munich. It is thought to be a type of resource/reference book which contains statistical methods used by - searchersin applied areas. Because of the diverse examples it could also be used in more advanced undergraduate courses, as a textbook. It is often called to our attention, by statisticians in the pharmac- tical industry, that there is a need for a summarizing and standardized representation of the design and analysis of experiments that includes the di?erent aspects of classical theory for continuous response, and of modern procedures for a categorical and, especially, correlated response, as well as more complex designs as, for example, cross–over and repeated measures. Therefore the book is useful for non statisticians who may appreciate the versatility of methods and examples, and for statisticians who will also ?nd theoretical basics and extensions. Therefore the book tries to bridge the gap between the application and theory within methods dealing with designed experiments.

This book is the second English edition of my German textbook that was originally written parallel to my lecture “Design of Experiments” which was held at the University of Munich. It is thought to be a type of resource/reference book which contains statistical methods used by - searchersin applied areas. Because of the diverse examples it could also be used in more advanced undergraduate courses, as a textbook. It is often called to our attention, by statisticians in the pharmac- tical industry, that there is a need for a summarizing and standardized representation of the design and analysis of experiments that includes the di?erent aspects of classical theory for continuous response, and of modern procedures for a categorical and, especially, correlated response, as well as more complex designs as, for example, cross–over and repeated measures. Therefore the book is useful for non statisticians who may appreciate the versatility of methods and examples, and for statisticians who will also ?nd theoretical basics and extensions. Therefore the book tries to bridge the gap between the application and theory within methods dealing with designed experiments.