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Experiments - Planning, Analysis, and Optimization, Third Edition (Hardcover, 3rd Edition)
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Experiments - Planning, Analysis, and Optimization, Third Edition (Hardcover, 3rd Edition)
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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.
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