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  Evaluating Bayesian Radiocarbon‐dated Event Count (REC) models for the study of long‐term human and environmental processes

Carleton, W. C. (2021). Evaluating Bayesian Radiocarbon‐dated Event Count (REC) models for the study of long‐term human and environmental processes. Journal of Quaternary Science, 36(1), 110-123. doi:10.1002/jqs.3256.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-4A52-A Version Permalink: http://hdl.handle.net/21.11116/0000-0007-A2D2-4
Genre: Journal Article

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http://dx.doi.org/10.1002/jqs.3256 (Publisher version)
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 Creators:
Carleton, W. Christopher1, Author              
Affiliations:
1Max Planck Research Group Extreme Events, Dr. Huw Groucutt, MPI for Chemical Ecology, Max Planck Society, ou_3018879              

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 Dates: 2020-09-242020-10-202021-01
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: Other: HUW013
DOI: 10.1002/jqs.3256
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Title: Journal of Quaternary Science
  Abbreviation : J. Quaternary Sci
Source Genre: Journal
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Publ. Info: Chichester : John Wiley & Sons, Ltd.
Pages: - Volume / Issue: 36 (1) Sequence Number: - Start / End Page: 110 - 123 Identifier: ISSN: 0267-8179
CoNE: https://pure.mpg.de/cone/journals/resource/954925500137