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dc.contributor.author | Chakraborty, Niladri![]() |
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dc.contributor.author | Human, Schalk William![]() |
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dc.contributor.author | Balakrishnan, N.![]() |
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dc.date.accessioned | 2018-02-22T13:24:20Z | |
dc.date.issued | 2017-05 | |
dc.description.abstract | 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 Generally Weighted Moving Average control chart to monitor the time between events (TBE); regarded as the GWMA-TBE chart. To aid the implementation of the chart, the necessary design parameters are provided. An extensive performance analysis shows that the GWMA-TBE chart is better than the well-known EWMA and Shewhart charts at detecting very small to moderate changes. Finally, a summary and some conclusions are provided. | en_ZA |
dc.description.department | Statistics | en_ZA |
dc.description.embargo | 2018-05-09 | |
dc.description.librarian | hj2018 | en_ZA |
dc.description.sponsorship | STATOMET (Grant number: SMB2015A), University of Pretoria, South Africa. | en_ZA |
dc.description.uri | http://www.tandfonline.com/loi/lssp20 | en_ZA |
dc.identifier.citation | N. Chakraborty, S.W. Human & N. Balakrishnan (2017) A generally weighted moving average chart for time between events, Communications in Statistics - Simulation and Computation, 46:10, 7790-7817, DOI: 10.1080/03610918.2016.1252397. | en_ZA |
dc.identifier.issn | 0361-0918 (print) | |
dc.identifier.issn | 1532-4141 (online) | |
dc.identifier.other | 10.1080/03610918.2016.1252397 | |
dc.identifier.uri | http://hdl.handle.net/2263/64062 | |
dc.language.iso | en | en_ZA |
dc.publisher | Taylor and Francis | en_ZA |
dc.rights | © 2017 Taylor & Francis Group, LLC. This is an electronic version of an article published in Communications in Statistics : Simulation and Computation, vol. 46, no. 10, pp. 7790-7817, 2017. doi : 10.1080/03610918.2016.1252397 . Communications in Statistics : Simulation and Computation is available online at : http://www.tandfonline.comloi/lssp20. | en_ZA |
dc.subject | Time between events (TBE) | en_ZA |
dc.subject | Generally weighted moving average (GWMA) | en_ZA |
dc.subject | Average run-length (ARL) | en_ZA |
dc.subject | GWMA chart | en_ZA |
dc.subject | Markov chain | en_ZA |
dc.subject | Simulation | en_ZA |
dc.subject | Design | en_ZA |
dc.subject | Run lengths | en_ZA |
dc.subject | CUSUM schemes | en_ZA |
dc.subject | Initial response features | en_ZA |
dc.title | A generally weighted moving average chart for time between events | en_ZA |
dc.type | Postprint Article | en_ZA |