Sequential rank CUSUM charts for angular data

dc.contributor.author	Lombard, F.
dc.contributor.author	Hawkins, Douglas M.
dc.contributor.author	Potgieter, Cornelis J.
dc.contributor.researchID	12950149 - Lombard, Frederick
dc.date.accessioned	2017-03-23T11:48:13Z
dc.date.available	2017-03-23T11:48:13Z
dc.date.issued	2017
dc.description.abstract	A cumulative sum (CUSUM) control chart has desirable properties for checking whether a distribution has changed from an in-control to an out-of-control setting. Distribution-free CUSUMs based on sequential ranks to detect changes in the mean direction and dispersion of angular data are developed and some of their properties are illustrated by theoretical calculations and Monte Carlo simulation. Three applications to sequentially observed angular data from health science, industrial quality control and astrophysics are discussed	en_US
dc.identifier.citation	Lombard, F. et al. 2017. Sequential rank CUSUM charts for angular data. Computational statistics and data analysis, 105:268-279. [https://doi.org/10.1016/j.csda.2016.08.001]	en_US
dc.identifier.issn	0167-9473
dc.identifier.uri	http://hdl.handle.net/10394/20914
dc.identifier.uri	https://doi.org/10.1016/j.csda.2016.08.001
dc.identifier.uri	http://www.sciencedirect.com/science/article/pii/S0167947316301827
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.subject	Angular data	en_US
dc.subject	CUSUM	en_US
dc.subject	Sequential ranks	en_US
dc.title	Sequential rank CUSUM charts for angular data	en_US
dc.type	Article	en_US

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