Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7633
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorNakamura, T-
dc.creatorSmall, M-
dc.creatorHirata, Y-
dc.date.accessioned2015-06-23T09:15:36Z-
dc.date.available2015-06-23T09:15:36Z-
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/10397/7633-
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.titleTesting for nonlinearity in irregular fluctuations with long-term trendsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume74-
dc.identifier.issue2-
dc.identifier.doi10.1103/PhysRevE.74.026205-
dcterms.abstractWe describe a method for investigating nonlinearity in irregular fluctuations (short-term variability) of time series even if the data exhibit long-term trends (periodicities). Such situations are theoretically incompatible with the assumption of previously proposed methods. The null hypothesis addressed by our algorithm is that irregular fluctuations are generated by a stationary linear system. 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, 2006, v. 74, no. 2, 26205-
dcterms.isPartOfPhysical review. E, Statistical, nonlinear, and soft matter physics-
dcterms.issued2006-
dc.identifier.isiWOS:000240238200030-
dc.identifier.scopus2-s2.0-33747376872-
dc.identifier.eissn1550-2376-
dc.identifier.rosgroupidr34380-
dc.description.ros2006-2007 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Nakamura_Testing_Nonlinearity_Fluctuations.pdf515.05 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

138
Last Week
2
Last month
Citations as of Oct 1, 2023

Downloads

183
Citations as of Oct 1, 2023

SCOPUSTM   
Citations

31
Last Week
0
Last month
1
Citations as of Sep 28, 2023

WEB OF SCIENCETM
Citations

32
Last Week
0
Last month
0
Citations as of Sep 28, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.