Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-28T08:15:43.422Z Has data issue: false hasContentIssue false
  • English
  • Français

Models, Data, Statistics, And Outliers—A Statistical Revolution In Archaeology and 14C Dating

Published online by Cambridge University Press:  18 July 2016

E Marian Scott
E Marian Scott*
Affiliation:
School of Mathematics and Statistics, University of Glasgow, Glasgow G12 8QW, United Kingdom. Email: [email protected].
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Increasingly, the uses of data arc becoming more and more sophisticated as the archaeological and chronological questions being asked become more complex. Statistical models and tools for inference arc 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 cost—the 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.

Type
Articles
Information
Radiocarbon , Volume 53 , Issue 4 , 2011 , pp. 559 - 562
Copyright
Copyright © The Arizona Board of Regents on behalf of the University of Arizona 

References

ARCANE. 2011. ARCANE Project: Synchronizing Cultures and Civilizations of the Ancient Near East and the Eastern Mediterranean in the Third Millennium BC. URL: http://www.arcane.uni-tuebingen.de/welcome.html. Accessed October 2011.Google Scholar
Bayliss, A. 2009. Rolling out revolution: using radiocarbon dating in archaeology. Radiocarbon 51(1):123–47.Google Scholar
Scott, EM, Cook, GT, Naysmith, P. 2007. Error and uncertainty in radiocarbon measurements. Radiocarbon 49(2):427–40.Google Scholar
Scott, EM, Cook, GT, Naysmith, P. 2010. The Fifth International Radiocarbon Intercomparison (VIRI): an assessment of laboratory performance in Stage 3. Radiocarbon 52(3):859–65.Google Scholar
Zaitseva, GI, Chugunov, KV, Dergachev, VA, Nagler, A, Parzinger, G, Scott, EM, Sementsov, AA, Vasiliev, S, van Geel, B, van der Plicht, J, Lebedeva, LM. 2004. Chronological studies of the Arzhan-2 Scythian monument in Tuva (Russia). Radiocarbon 46(1):277–84.Google Scholar