Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. These diagrams are used to elucidate structure, calculate degrees of freedom and allocate treatment sub-spaces to appropriate strata. Good design considers units and treatments first, and then allocates treatments to units. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. This book should be on the shelf of every practicing statistician who designs experiments. "... a carefully planned, well-organized [manner]. Using very simple language, Bailey makes every effort to make this book enjoyable to read, and to bring appreciation to and a deep understanding of the concepts and issues in experimental designs." D.V. Chopra, Wichita State University for Choice Magazine The coherent framework behind good practice; for working statisticians, advanced undergraduates, beginning graduate students. R. A. Bailey has been Professor of Statistics at Queen Mary, University of London since 1994. She is a fellow of the Institute of Mathematical Statistics and a past president of the International Biometric Society, British Region. This book reflects her extensive experience teaching design of experiments and advising on its application. Her book Association Schemes was published by Cambridge University Press in 2004.