Abstract
Statistical methods now form an important part of the interpretative tool kit of archaeologists. Of these the most common are descriptive statistical methods such as: means and standard deviations, medians and modes, histograms, pie charts, line graphs, etc. It is increasingly common, however, for archaeologists and their co-workers (such as physicists, chemists, geologists and environmental scientists) to adopt model-based statistical tools. Such tools use mathematical representations of the processes which gave rise to the data we observe today and help us to begin to understand them. Statistical models are particularly relevant for aiding in archaeological interpretation as they allow us to include sources of uncertainty that are so often present in our understanding of the archaeological record.
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Buck, C.E. (1999). Bayesian Statistics for Archaeology. In: Gaul, W., Locarek-Junge, H. (eds) Classification in the Information Age. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60187-3_59
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DOI: https://doi.org/10.1007/978-3-642-60187-3_59
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