Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4826
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorNakamura, T-
dc.creatorSmall, M-
dc.date.accessioned2014-12-11T08:28:10Z-
dc.date.available2014-12-11T08:28:10Z-
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/10397/4826-
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.rightsPhysical Review E © 2005 The American Physical Society. The Journal's web site is located at http://pre.aps.org/en_US
dc.subjectAlgorithmsen_US
dc.subjectError analysisen_US
dc.subjectTime series analysisen_US
dc.titleSmall-shuffle surrogate data : testing for dynamics in fluctuating data with trendsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage6-
dc.identifier.volume72-
dc.identifier.issue5-
dc.identifier.doi10.1103/PhysRevE.72.056216-
dcterms.abstractWe describe a method for identifying dynamics in irregular time series (short term variability). The method we propose focuses attention on the flow of information in the data. We can apply the method even for irregular fluctuations which exhibit long term trends (periodicities): situations in which previously proposed surrogate methods would give erroneous results. The null hypothesis addressed by our algorithm is that irregular fluctuations are independently distributed random variables (in other words, there is no short term dynamics). The method is demonstrated for numerical data generated by known systems, and applied to several actual time series.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysical review. E, Statistical, nonlinear, and soft matter physics, Nov. 2005, v. 72, no. 5, 056216, p. 1-6-
dcterms.isPartOfPhysical review. E, Statistical, nonlinear, and soft matter physics-
dcterms.issued2005-11-23-
dc.identifier.isiWOS:000233603200064-
dc.identifier.scopus2-s2.0-28844502396-
dc.identifier.eissn1550-2376-
dc.identifier.rosgroupidr30012-
dc.description.ros2005-2006 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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