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Distribution-Free Methods for Statistical Process Monitoring and Control (Hardcover, 1st ed. 2020): Markos V. Koutras, Ioannis... Distribution-Free Methods for Statistical Process Monitoring and Control (Hardcover, 1st ed. 2020)
Markos V. Koutras, Ioannis S. Triantafyllou
R2,896 Discovery Miles 28 960 Ships in 10 - 15 working days

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.

Distribution-Free Methods for Statistical Process Monitoring and Control (Paperback, 1st ed. 2020): Markos V. Koutras, Ioannis... Distribution-Free Methods for Statistical Process Monitoring and Control (Paperback, 1st ed. 2020)
Markos V. Koutras, Ioannis S. Triantafyllou
R2,866 Discovery Miles 28 660 Ships in 10 - 15 working days

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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