Abstract

https://ssrn.com/abstract=2572966
 


 



Uncertainty in Radiocarbon Dating: A Numerical Approach


Jamal Munshi


Sonoma State University

March 1, 2015


Abstract:     
Conventional analytical solutions to the statistics of radiocarbon dating are hampered by distributional issues and assumptions of convenience. Fortunately, given rapid advances in computational machinery, numerical methods offer a simple and robust alternative. In this paper we use the radiocarbon age data presented by Finkelstein and Piasetzky (Finkelstein, 2010) to demonstrate a numerical method of generating sampling distributions of calibrated radiocarbon dates that is likely to provide greater precision and utility to archeologists.

Number of Pages in PDF File: 19

Keywords: radiocarbon dating, archaeometry, archaeology, levant, bronze age, iron age, biblical archaeology, Israel Finkelstein, Amir Aczel, numerical methods, bootstrap, Monte Carlo simulation, computational statistics


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Date posted: March 4, 2015 ; Last revised: March 19, 2015

Suggested Citation

Munshi, Jamal, Uncertainty in Radiocarbon Dating: A Numerical Approach (March 1, 2015). Available at SSRN: https://ssrn.com/abstract=2572966 or http://dx.doi.org/10.2139/ssrn.2572966

Contact Information

Jamal Munshi (Contact Author)
Sonoma State University ( email )
1801 East Cotati Avenue
Rohnert Park, CA 94928
United States
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