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
Fully updated 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. Maintaining the same easy-to-follow style as the
previous edition while also including modern updates, this book
continues to present a new and integrated system of experimental
design and analysis that can be applied across various fields of
research including engineering, medicine, and the physical
sciences.
The authors modernize accepted methodologies while refining 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. Along with a new chapter that
focuses on regression analysis, the Second Edition features
expanded and new coverage of additional topics, including:
* Expected mean squares and sample size determination
* One-way and two-way ANOVA with random effects
* Split-plot designs
* ANOVA treatment of factorial effects
* Response surface modeling for related factors
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, Second 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.
About the author
C. F. Jeff Wu, Ph D, is 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.
Michael S. Hamada, Ph D, is Statistical Scientist at 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.
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