Description

Book Synopsis

Statistics in Practice A new series of practical books outliningthe use of statistical techniques in a wide range of applicationareas:

  • Human and Biological Sciences
  • Earth and Environmental Sciences
  • Industry, Commerce and Finance

The authors of this important text explore the processes throughwhich archaeologists analyse their data and how these can be mademore rigorous and effective by sound statistical modelling. Theyassume relatively little previous statistical or mathematicalknowledge. Introducing the idea underlying the Bayesian approach tothe statistical analysis of data and their subsequentinterpretation, the authors demonstrate the major advantage of thisapproach, i.e. that it allows the incorporation of relevant priorknowledge or beliefs into the analysis. By doing so it provides alogical and coherent way of updating beliefs from those held beforeobserving the data to those held after taking the data intoaccount. To illustr

Table of Contents
The Bayesian Approach to Statistical Archaeology.

Outline of the Approach.

Modelling in Archaeology.

Quantifying Uncertainty: The Probability Concept.

Statistical Modelling.

Bivariate and Multivariate Distributions.

Bayesian Inference.

Implementation Issues.

Interpretation of Radiocarbon Results.

Spatial Analysis.

Sourcing and Provenancing.

Application to Other Dating Methods.

The Way Forward.

References.

Index.

Bayesian Approach to Intrepreting Archaeological

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    A Hardback by Caitlin E. Buck, William G. Cavanagh, Cliff D. Litton

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      View other formats and editions of Bayesian Approach to Intrepreting Archaeological by Caitlin E. Buck

      Publisher: John Wiley & Sons Inc
      Publication Date: 17/04/1996
      ISBN13: 9780471961970, 978-0471961970
      ISBN10: 0471961973

      Description

      Book Synopsis

      Statistics in Practice A new series of practical books outliningthe use of statistical techniques in a wide range of applicationareas:

      • Human and Biological Sciences
      • Earth and Environmental Sciences
      • Industry, Commerce and Finance

      The authors of this important text explore the processes throughwhich archaeologists analyse their data and how these can be mademore rigorous and effective by sound statistical modelling. Theyassume relatively little previous statistical or mathematicalknowledge. Introducing the idea underlying the Bayesian approach tothe statistical analysis of data and their subsequentinterpretation, the authors demonstrate the major advantage of thisapproach, i.e. that it allows the incorporation of relevant priorknowledge or beliefs into the analysis. By doing so it provides alogical and coherent way of updating beliefs from those held beforeobserving the data to those held after taking the data intoaccount. To illustr

      Table of Contents
      The Bayesian Approach to Statistical Archaeology.

      Outline of the Approach.

      Modelling in Archaeology.

      Quantifying Uncertainty: The Probability Concept.

      Statistical Modelling.

      Bivariate and Multivariate Distributions.

      Bayesian Inference.

      Implementation Issues.

      Interpretation of Radiocarbon Results.

      Spatial Analysis.

      Sourcing and Provenancing.

      Application to Other Dating Methods.

      The Way Forward.

      References.

      Index.

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