Praise for the First Edition
"If you ... want an up-to-date, definitive reference written by authors
who have contributed much to this field, then this book is an essential
addition to your library."
--Journal of the American Statistical Association
A COMPREHENSIVE REVIEW OF MODERN EXPERIMENTAL DESIGN
Experiments: Planning, Analysis, and Optimization, Third Edition
provides a complete discussion of modern experimental design for product
and process improvement--the design and analysis of experiments and
their applications for system optimization, robustness, and treatment
comparison. While maintaining the same easy-to-follow style as the
previous editions, this book continues to present an integrated system
of experimental design and analysis that can be applied across various
fields of research including engineering, medicine, and the physical
sciences. New chapters provide modern updates on practical optimal
design and computer experiments, an explanation of computer simulations
as an alternative to physical experiments. Each chapter begins with a
real-world example of an experiment followed by the methods required to
design that type of experiment. The chapters conclude with an
application of the methods to the experiment, bridging the gap between
theory and practice.
The authors modernize accepted methodologies while refining many
cutting-edge topics including robust parameter design, analysis of
non-normal data, analysis of experiments with complex aliasing,
multilevel designs, minimum aberration designs, and orthogonal arrays.
The third edition includes:
- Information on the design and analysis of computer experiments
- A discussion of practical optimal design of experiments
- An introduction to conditional main effect (CME) analysis and
definitive screening designs (DSDs)
- New exercise problems
This book includes valuable exercises and problems, allowing the reader
to gauge their progress and retention of the book's subject matter as
they complete each chapter.
Drawing on examples from their combined years of working with industrial
clients, the authors present many cutting-edge topics in a single,
easily accessible source. Extensive case studies, including goals, data,
and experimental designs, are also included, and the book's data sets
can be found on a related FTP site, along with additional supplemental
material. Chapter summaries provide a succinct outline of discussed
methods, and extensive appendices direct readers to resources for
further study.
Experiments: Planning, Analysis, and Optimization, Third Edition is an
excellent book for design of experiments courses at the
upper-undergraduate and graduate levels. It is also a valuable resource
for practicing engineers and statisticians.
