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Browsing Research Articles (University of Pretoria) by Subject "Average run-length (ARL)"
Now showing items 1-9 of 9
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(Taylor and Francis, 2017)Distribution-free (nonparametric) control charts can play an essential role in process monitoring when there is dearth of information about the underlying distribution. In this paper, we study various aspects related to ...
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(Taylor & Francis, 2014-09)Nonparametric control charts provide a robust alternative in practice when the form of the underlying distribution is unknown. Nonparametric CUSUM (NPCUSUM) charts blend the advantages of a CUSUM with that of a nonparametric ...
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(Taylor and Francis, 2017-05)Shewhart-type attribute charts are known to be inefficient for small changes in monitoring nonconformities. An alternative way is to use a time-weighted chart to monitor the time between events (TBE). We propose a one-sided ...
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(Wiley, 2023-12)In most real-world applications, such as production and manufacturing processes, the underlying process distribution does not always follow a normal distribution. In such cases, statistical process control literature ...
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(Taylor and Francis, 2018)In this paper, we discuss the short-term (also known as zero-state mode) run-length theoretical properties of the four different types of synthetic and runs-rules monitoring schemes that were empirically analyzed in another ...
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(Taylor and Francis, 2019)Please read abstract in the article.
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(Taylor and Francis, 2018)In this paper, the long term (also known as the steady-state mode) run-length theoretical properties of the four different types of synthetic and runs-rules monitoring schemes, that were empirically analysed in part 1 of ...
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(Wiley, 2017-02)A synthetic and a runs-rules X charts that are combined with a basic X chart are called a Synthetic-X and an improved runs-rules X charts, respectively. This paper gives the zero-state and steady-state theoretical results ...
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(Institute of Electrical and Electronics Engineers, 2022-01)Many studies have shown that industrial as well as non-industrial business organizations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality ...
Now showing items 1-9 of 9