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dc.contributor.authorScott, E. Marian
dc.date.accessioned2021-02-11T21:45:48Z
dc.date.available2021-02-11T21:45:48Z
dc.date.issued2011-12-16
dc.identifier.citationScott, E. M. (2011). Models, data, statistics, and outliers—a statistical revolution in archaeology and 14C dating. Radiocarbon, 53(4), 559-562.
dc.identifier.issn0033-8222
dc.identifier.doi10.1017/S0033822200039035
dc.identifier.urihttp://hdl.handle.net/10150/654849
dc.description.abstractIncreasingly, the uses of data are becoming more and more sophisticated as the archaeological and chronological questions being asked become more complex. Statistical models and tools for inference are a routine part of an archaeological investigation encouraged through the availability of software, and with each release of that software, additional functionality is being added. This comes with enormous benefit but also at a costthe dreaded black box. Therefore, this article, as the first in a series of short articles, will attempt to cover some of the things one needs to know to make the most of the power of the statistical revolution, while avoiding the pitfalls.
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.titleModels, Data, Statistics, and Outliers—A Statistical Revolution in Archaeology and 14C Dating
dc.typeArticle
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.volume53
dc.source.issue4
dc.source.beginpage559
dc.source.endpage562
refterms.dateFOA2021-02-11T21:45:48Z


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