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New Shewhart-type synthetic New Shewhart‑type synthetic X̄ control schemes for non‑normal data

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dc.contributor.author Malela-Majika, Jean-Claude
dc.contributor.author Graham, Marien Alet
dc.date.accessioned 2019-03-01T06:07:00Z
dc.date.available 2019-03-01T06:07:00Z
dc.date.issued 2019-02-18
dc.identifier.uri https://doi.org/10.1007/s40092-019-0304-z
dc.identifier.uri http://hdl.handle.net/10500/25298
dc.description.abstract In this paper, Burr-type XII X¯ synthetic schemes are proposed as an alternative to the classical X¯ synthetic schemes when the assumption of normality fails to hold. First, the basic design of the Burr-type XII X¯ synthetic scheme is developed and its performance investigated using exact formulae. Secondly, the non-side-sensitive and side-sensitive Burr-type XII X¯ synthetic schemes are introduced and their zero-state and steady-state performances, in terms of the average run-length and expected extra quadratic loss values, are investigated using a Markov chain approach. Thirdly, the proposed schemes are compared to the existing classical runs-rules and synthetic X¯ schemes. It is observed that the proposed schemes have very interesting properties and outperform the competing schemes in many cases under symmetric and skewed underlying process distributions. Finally, an illustrative real-life example is given to demonstrate the design and implementation of the proposed Burr-type XII X¯ synthetic schemes.
dc.title New Shewhart-type synthetic New Shewhart‑type synthetic X̄ control schemes for non‑normal data
dc.type Journal Article
dc.date.updated 2019-03-01T06:07:00Z
dc.language.rfc3066 en
dc.rights.holder The Author(s)


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