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dc.contributor.authorPalonen, V.
dc.contributor.authorTikkanen, P.
dc.date.accessioned2021-02-11T21:45:22Z
dc.date.available2021-02-11T21:45:22Z
dc.date.issued2004-01-01
dc.identifier.citationPalonen, V., & Tikkanen, P. (2004). Bayesian periodic signal detection applied to IntCal98 data. Radiocarbon, 46(2), 979-985.
dc.identifier.issn0033-8222
dc.identifier.doi10.1017/S0033822200036043
dc.identifier.urihttp://hdl.handle.net/10150/654741
dc.descriptionFrom the 18th International Radiocarbon Conference held in Wellington, New Zealand, September 1-5, 2003.
dc.description.abstractA Bayesian multiple-frequency model has been developed for spectral analysis of data with unknown correlated noise. A description of the model is given and the method is applied to decadal atmospheric INTCAL98 Delta-14C data. The noise of the INTCAL98 data is found to be red, and there seems to be no support for continuous harmonic frequencies in the data.
dc.language.isoen
dc.publisherDepartment of Geosciences, The University of Arizona
dc.relation.urlhttp://radiocarbon.webhost.uits.arizona.edu/
dc.rightsCopyright © by the Arizona Board of Regents on behalf of the University of Arizona. All rights reserved.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectatmosphere
dc.subjectBayesian analysis
dc.subjectC 14
dc.subjectC 14 C 12
dc.subjectcalibration
dc.subjectcarbon
dc.subjectCenozoic
dc.subjectconcentration
dc.subjectequations
dc.subjectfrequency
dc.subjectHolocene
dc.subjectINTCAL98
dc.subjectisotopes
dc.subjectMarkov chain analysis
dc.subjectmodels
dc.subjectMonte Carlo analysis
dc.subjectnoise
dc.subjectPleistocene
dc.subjectprobability
dc.subjectQuaternary
dc.subjectradioactive isotopes
dc.subjectsignals
dc.subjectstable isotopes
dc.subjectstatistical analysis
dc.subjectstatistical distribution
dc.subjectupper Pleistocene
dc.titleBayesian Periodic Signal Detection Applied to INTCAL98 Data
dc.typeProceedings
dc.typetext
dc.identifier.journalRadiocarbon
dc.description.collectioninformationThe Radiocarbon archives are made available by Radiocarbon and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform February 2021
dc.source.volume46
dc.source.issue2
dc.source.beginpage979
dc.source.endpage985
refterms.dateFOA2021-02-11T21:45:22Z


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