Methods for Summarizing Radiocarbon Datasets
Methods for Summarizing Radiocarbon Datasets
About this item
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Author / Creator
Publisher
New York, USA: Cambridge University Press
Journal title
Language
English
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Publication information
Publisher
New York, USA: Cambridge University Press
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Scope and Contents
Contents
Bayesian models have proved very powerful in analyzing large datasets of radiocarbon (14C) measurements from specific sites and in regional cultural or political models. These models require the prior for the underlying processes that are being described to be defined, including the distribution of underlying events. Chronological information is al...
Alternative Titles
Full title
Methods for Summarizing Radiocarbon Datasets
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_1981047847
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1981047847
Other Identifiers
ISSN
0033-8222
E-ISSN
1945-5755
DOI
10.1017/RDC.2017.108
