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This book explores nonparametric statistical process control. It
provides an up-to-date overview of nonparametric Shewhart-type
univariate control charts, and reviews the recent literature on
nonparametric charts, particularly multivariate schemes. Further,
it discusses observations tied to the monitored population
quantile, focusing on the Shewhart Sign chart. The book also
addresses the issue of practically assuming the normality and the
independence when a process is statistically monitored, and
examines in detail change-point analysis-based distribution-free
control charts designed for Phase I applications. Moreover, it
introduces six distribution-free EWMA schemes for simultaneously
monitoring the location and scale parameters of a univariate
continuous process, and establishes two nonparametric Shewhart-type
control charts based on order statistics with signaling runs-type
rules. Lastly, the book proposes novel and effective method for
early disease detection.
This book explores nonparametric statistical process control. It
provides an up-to-date overview of nonparametric Shewhart-type
univariate control charts, and reviews the recent literature on
nonparametric charts, particularly multivariate schemes. Further,
it discusses observations tied to the monitored population
quantile, focusing on the Shewhart Sign chart. The book also
addresses the issue of practically assuming the normality and the
independence when a process is statistically monitored, and
examines in detail change-point analysis-based distribution-free
control charts designed for Phase I applications. Moreover, it
introduces six distribution-free EWMA schemes for simultaneously
monitoring the location and scale parameters of a univariate
continuous process, and establishes two nonparametric Shewhart-type
control charts based on order statistics with signaling runs-type
rules. Lastly, the book proposes novel and effective method for
early disease detection.
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