印第安人 发表于 2025-3-25 07:21:56
http://reply.papertrans.cn/29/2821/282010/282010_21.png失败主义者 发表于 2025-3-25 11:10:29
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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富饶 发表于 2025-3-25 16:46:43
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 multivariateFLOUR 发表于 2025-3-25 20:16:06
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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角斗士 发表于 2025-3-26 06:05:55
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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 illConsole 发表于 2025-3-26 14:23:02
Distribution-Free Methods for Statistical Process Monitoring and ControlGIST 发表于 2025-3-26 20:47:43
Distribution-Free Methods for Statistical Process Monitoring and Control978-3-030-25081-2