Praise for the "Second Edition"
"As a comprehensive statistics reference book for quality
improvement, it certainly is one of the best books
available."
"--Technometrics"
This new edition continues to provide the most current, proven
statistical methods for quality control and quality improvement
The use of quantitative methods offers numerous benefits in the
fields of industry and business, both through identifying existing
trouble spots and alerting management and technical personnel to
potential problems. "Statistical Methods for Quality Improvement,
Third Edition" guides readers through a broad range of tools and
techniques that make it possible to quickly identify and resolve
both current and potential trouble spots within almost any
manufacturing or nonmanufacturing process. The book provides
detailed coverage of the application of control charts, while also
exploring critical topics such as regression, design of
experiments, and Taguchi methods.
In this new edition, the author continues to explain how to
combine the many statistical methods explored in the book in order
to optimize quality control and improvement. The book has been
thoroughly revised and updated to reflect the latest research and
practices in statistical methods and quality control, and new
features include: Updated coverage of control charts, with newly
added toolsThe latest research on the monitoring of linear profiles
and other types of profilesSections on generalized likelihood ratio
charts and the effects of parameter estimation on the properties of
CUSUM and EWMA proceduresNew discussions on design of experiments
that include conditional effects and fraction of design space
plotsNew material on Lean Six Sigma and Six Sigma programs and
training
Incorporating the latest software applications, the author has
added coverage on how to use Minitab software to obtain probability
limits for attribute charts. new exercises have been added
throughout the book, allowing readers to put the latest statistical
methods into practice. Updated references are also provided,
shedding light on the current literature and providing resources
for further study of the topic.
"Statistical Methods for Quality Improvement, Third Edition" is
an excellent book for courses on quality control and design of
experiments at the upper-undergraduate and graduate levels. the
book also serves as a valuable reference for practicing
statisticians, engineers, and physical scientists interested in
statistical quality improvement.
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