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A nonparametric triple exponentially weighted moving average sign control chart

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This article is published in Quality and Reliability Engineering International.The article was published on 2021-06-01. It has received 22 citations till now. The article focuses on the topics: Sign (mathematics).

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Quality and Reliability Engineering International

TL;DR: The Journal is indexed by Academic Search (EBSCO Publishing), Academic Search Alumni Edition (AALE), EBSCO publishing, Advanced Technologies & Aerospace Database (ProQuest), COMPENDEX (Elsevier), Current
Journal ArticleDOI

A critique of a variety of “memory-based” process monitoring methods

TL;DR: Many extensions and modifications have been made to standard process monitoring methods such as the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM) chart as mentioned in this paper , usually to put greater emphasis on past data and less weight on current and recent data.
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A non-parametric exponentially weighted a moving average signed-rank chart for monitoring location

TL;DR: An extensive simulation study is done on the performance of the two-sided NPEWMA-SR chart including a detailed comparison with a number of existing control charts, including the traditional EWMA chart for subgroup averages and some nonparametric charts i.e. runs-rules enhanced Shewhart-type SR charts.
References
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Journal ArticleDOI

A new distribution-free monitoring scheme based on ranks

TL;DR: In this article, a new nonparametric Shewhart-based control chart based on rank statistics is introduced, and the setup of the proposed distribution-free monitoring scheme is presented in detail.
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Distribution-free monitoring schemes based on order statistics: a general approach

TL;DR: A new class of distribution-free Shewhart-type monitoring schemes based on order statistics is established, and it is revealed that the proposed scheme achieves adversarial in-control and out-of-control performance.
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