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.
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