An introduction to statistical methods for circular data

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimizacióngl
dc.contributor.authorCrujeiras Casais, Rosa María
dc.date.accessioned2019-04-12T11:11:34Z
dc.date.available2019-04-12T11:11:34Z
dc.date.issued2017
dc.description.abstractAngles, directions, events, occurrences along time... all of them can be viewed as data on a circle (circular data). The particular nature of this type of data requires specific and adapted inferential and modelling procedures. Although there are quite a few references on this topic, and despite circular data are quite common in many applied sciences, they are frequently overlooked. This brief introduction aims to give the reader just some basic ideas on circular data analysis (with some mentions to the general case of spherical or directional data), providing some relevant references and tools for their application in practicegl
dc.description.peerreviewedSIgl
dc.identifier.citationCrujeiras, R. M. (2017). An introduction to statistical methods for circular data. Boletín de Estadística e Investigación Operativa. Vol. 33, no. 2, pp. 85-107gl
dc.identifier.issn2387-1725
dc.identifier.urihttp://hdl.handle.net/10347/18606
dc.language.isospagl
dc.publisherSociedad de Estadística e Investigación Operativagl
dc.relation.publisherversionhttp://www.seio.es/BBEIO/BEIOVol33Num2/files/assets/basic-html/page-1.htmlgl
dc.rights© 2017 SEIOgl
dc.rights.accessRightsopen accessgl
dc.subjectCircular datagl
dc.subjectKernel estimationgl
dc.subjectVon Misesgl
dc.titleAn introduction to statistical methods for circular datagl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication72f92664-9a3d-4ef9-8d09-f35c21b9454e
relation.isAuthorOfPublication.latestForDiscovery72f92664-9a3d-4ef9-8d09-f35c21b9454e

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