Titlebook: Distribution-Free Methods for Statistical Process Monitoring and Control; Markos V. Koutras,Ioannis S. Triantafyllou Book 2020 Springer Na

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Book 2020arts, 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 indep

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xperts from around the globe.Describes techniques that can b.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

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https://doi.org/10.1007/978-1-349-20036-8ows that the best strategy simply consists in implementing a Bernoulli trial approach: in practice, ties are reconsidered by . chance as being greater or smaller than the monitored population quantile. We quantitatively show that this approach allows the distribution-free properties of the Shewhart

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Spring-Summer: The Affirmation of ‘Reason’monitoring the scale parameter. Such decomposition of the Cucconi statistic is not unique, and one can split it into three different ways. Therefore, we design three more cEWMA schemes corresponding to the decompositions of the Cucconi statistic. We discuss the implementation steps along with an ill

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Distribution-Free Methods for Statistical Process Monitoring and Control

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Distribution-Free Methods for Statistical Process Monitoring and Control978-3-030-25081-2