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dc.contributor.authorMunro, Martin A. R.
dc.date.accessioned2012-12-12T21:59:14Z
dc.date.available2012-12-12T21:59:14Z
dc.date.issued1984
dc.identifier.citationMunro, M.A.R. 1984. An improved algorithm for crossdating tree-ring series. Tree-Ring Bulletin 44:17-27.en_US
dc.identifier.issn0041-2198
dc.identifier.urihttp://hdl.handle.net/10150/261251
dc.description.abstractThe CROS algorithm for crossdating tree-ring series has proved useful. Because it uses Student's t to test correlations which are not independent between autocorrelated tree-ring series, it does not give a good measure of the relative significance of high correlations. It can be improved by transforming the correlation coefficients to normally distributed values, and giving a conservative estimate of the significance of the highest of these by a revised t, derived from its studentized deviation from the mean value. The improved algorithm should help any dendrochronologist who routinely dates oak timbers.
dc.language.isoen_USen_US
dc.publisherTree-Ring Societyen_US
dc.relation.urlhttp://www.treeringsociety.orgen_US
dc.rightsCopyright © Tree-Ring Society. All rights reserved.en_US
dc.subjectDendrochronologyen_US
dc.subjectTree Ringsen_US
dc.subjectStatistical Analysisen_US
dc.titleAn Improved Algorithm for Crossdating Tree-Ring Seriesen_US
dc.typeArticleen_US
dc.contributor.departmentPalaeoecology Centre, The Queen's University of Belfast, Belfast, Northern Irelanden_US
dc.identifier.journalTree-Ring Bulletinen_US
dc.description.collectioninformationThis item is part of the Tree-Ring Research (formerly Tree-Ring Bulletin) archive. It was digitized from a physical copy provided by the Laboratory of Tree-Ring research at The University of Arizona. For more information about this peer-reviewed scholarly journal, please email the Editor of Tree-Ring Research at editor@treeringsociety.org.en_US
refterms.dateFOA2018-06-26T03:38:20Z
html.description.abstractThe CROS algorithm for crossdating tree-ring series has proved useful. Because it uses Student's t to test correlations which are not independent between autocorrelated tree-ring series, it does not give a good measure of the relative significance of high correlations. It can be improved by transforming the correlation coefficients to normally distributed values, and giving a conservative estimate of the significance of the highest of these by a revised t, derived from its studentized deviation from the mean value. The improved algorithm should help any dendrochronologist who routinely dates oak timbers.


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