Statistics in Practice A new series of practical books outlining
the use of statistical techniques in a wide range of application
areas:
- Human and Biological Sciences
- Earth and Environmental Sciences
- Industry, Commerce and Finance
The authors of this important text explore the processes through
which archaeologists analyse their data and how these can be made
more rigorous and effective by sound statistical modelling. They
assume relatively little previous statistical or mathematical
knowledge. Introducing the idea underlying the Bayesian approach to
the statistical analysis of data and their subsequent
interpretation, the authors demonstrate the major advantage of this
approach, i.e. that it allows the incorporation of relevant prior
knowledge or beliefs into the analysis. By doing so it provides a
logical and coherent way of updating beliefs from those held before
observing the data to those held after taking the data into
account. To illustrate the power and effectiveness of mathematical
and statistical modelling within the Bayesian framework, a variety
of real case studies are presented covering areas of common
interest to archaeologists. These case studies cover applications
in areas such as radiocarbon dating, spatial analysis, provenance
studies and other dating methods. Background to these case studies
is provided for those readers not so familiar with the subject.
Thus, the book provides an examination of the theoretical and
practical consequences of Bayesian analysis for examining problems
in archaeology. Students of archaeology and related disciplines and
professional archaeologists will find the book an informative and
practical introduction to the subject.
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