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dc.contributor.authorHawkins, Douglas M.
dc.contributor.authorLombard, F.
dc.date.accessioned2017-06-19T12:15:38Z
dc.date.available2017-06-19T12:15:38Z
dc.date.issued2017
dc.identifier.citationHawkins, D.M. & Lombard, F. 2017. Cusum control for data following the Von Mises distribution. Journal of applied statistics, 44(8):1319-1332. [http://dx.doi.org/10.1080/02664763.2016.1202217]en_US
dc.identifier.issn0266-4763
dc.identifier.issn1360-0532 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/25043
dc.identifier.urihttp://dx.doi.org/10.1080/02664763.2016.1202217
dc.identifier.urihttp://www.tandfonline.com/doi/full/10.1080/02664763.2016.1202217
dc.description.abstractThe von Mises distribution is widely used for modeling angular data. When such data are seen in a quality control setting, there may be interest in checking whether the values are in statistical control or have gone out of control. A cumulative sum (cusum) control chart has desirable properties for checking whether the distribution has changed from an in-control to an out-of-control setting. This paper develops cusums for a change in the mean direction and concentration of angular data and illustrates some of their propertiesen_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectAverage run lengthen_US
dc.subjectControl limitsen_US
dc.subjectCusumen_US
dc.subjectVon Mises distributionen_US
dc.subjectWrapped Cauchy distributionen_US
dc.titleCusum control for data following the Von Mises distributionen_US
dc.typeArticleen_US
dc.contributor.researchID12950149 - Lombard, Frederick


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