A one-of-a-kind presentation of the major achievements in
statistical profile monitoring methods
Statistical profile monitoring is an area of statistical quality
control that is growing in significance for researchers and
practitioners, specifically because of its range of applicability
across various service and manufacturing settings. Comprised of
contributions from renowned academicians and practitioners in the
field, "Statistical Analysis of Profile Monitoring" presents the
latest state-of-the-art research on the use of control charts to
monitor process and product quality profiles. The book presents
comprehensive coverage of profile monitoring definitions,
techniques, models, and application examples, particularly in
various areas of engineering and statistics.
The book begins with an introduction to the concept of profile
monitoring and its applications in practice. Subsequent chapters
explore the fundamental concepts, methods, and issues related to
statistical profile monitoring, with topics of coverage including:
Simple and multiple linear profilesBinary response
profilesParametric and nonparametric nonlinear profilesMultivariate
linear profiles monitoringStatistical process control for geometric
specificationsCorrelation and autocorrelation in
profilesNonparametric profile monitoring
Throughout the book, more than two dozen real-world case studies
highlight the discussed topics along with innovative examples and
applications of profile monitoring. "Statistical Analysis of
Profile Monitoring" is an excellent book for courses on statistical
quality control at the graduate level. It also serves as a valuable
reference for quality engineers, researchers and anyone who works
in monitoring and improving statistical processes.
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