Its introductory chapter covers the history and applications of experimental designs, it has five chapters on balanced incomplete block designs and their existence, and three on Latin squares and mutually orthogonal Latin squares.
[1][2] The coverage of the topics in the book includes examples, clearly written proofs,[3] historical references,[2] and exercises for students.
[4] Although intended as an advanced undergraduate textbook, this book can also be used as a graduate text, or as a reference for researchers.
[1][2][4] Although disappointed by the omission of some topics, reviewer D. V. Chopra writes that the book "succeeds remarkably well" in connecting the separate worlds of combinatorics and statistics.
Compared to these, Combinatorics of Experimental Design makes the combinatorial aspects of the subjects more accessible to statisticians, and its last two chapters contain material not covered by the other books.