C. F. Jeff Wu, the Coca-Cola Professor in Engineering Statistics at the Stewart School of Industrial and Systems Engineering, has published the second edition of his textbook Experiments: Planning, Analysis, and Optimization. Wu has spent two years updating the text, originally distributed by John Wiley & Sons in 2000, with colleague Michael Hamada to reflect the major progress in the use of statistically designed experiments for product and process improvement.

Experiments, Second Edition introduces some of the newest discoveries - and sheds further light on existing ones - on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. The textbook is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels and is also a valuable resource for practicing engineers and statisticians. In the second edition, the authors modernize accepted methodologies and refine many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays.

Michael Hamada, PhD, is a Statistical Scientist at the Los Alamos National Laboratory in New Mexico. Dr. Hamada is a Fellow of the American Statistical Association and the author of more than seventy published papers.

C. F. Jeff Wu, PhD, is the Coca-Cola Professor in Engineering Statistics at the Georgia Institute of Technology. Dr. Wu has published more than 130 papers and is the recipient of numerous accolades, including the National Academy of Engineering membership and the COPSS Presidents' Award.