Description

Book Synopsis
Statistics in Archaeology' presents the particular statistical methodologies which can be used to address specific issues and problems in archaeology. Through in-depth case studies, the author illustrates how such techniques can be employed in the archaeological context.

Table of Contents

Preface.

1 Introduction.

2 Data sets and problems.

3 Kernel density estimates.

4 Sampling.

5 Regression and related models.

6 Multivariate methods – an introduction.

7 Principal component analysis and related methods.

8 Cluster analysis.

9 Discrimination and classification.

10 Missing data and outliers.

11 Analysis of tabular data.

12 Computer-intensive methods.

13 Spatial analysis.

14 Bayesian methods.

15 Absolute dating – radiocarbon calibration.

16 Relative dating – seriation.

17 Quantification.

18 Lead isotope analysis.

19 The megalithic yard.

20 Comparing assemblage diversity.

21 Shorter studies.

Appendix – Web resources.

A.1 S - Plus and R.

A.2 Other resources.

References.

Index.

Statistics in Archaeology

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    A Hardback by Michael Baxter

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      Publisher: John Wiley & Sons Inc
      Publication Date: 31/07/2003
      ISBN13: 9780470711132, 978-0470711132
      ISBN10: 0470711132
      Also in:
      Mathematics

      Description

      Book Synopsis
      Statistics in Archaeology' presents the particular statistical methodologies which can be used to address specific issues and problems in archaeology. Through in-depth case studies, the author illustrates how such techniques can be employed in the archaeological context.

      Table of Contents

      Preface.

      1 Introduction.

      2 Data sets and problems.

      3 Kernel density estimates.

      4 Sampling.

      5 Regression and related models.

      6 Multivariate methods – an introduction.

      7 Principal component analysis and related methods.

      8 Cluster analysis.

      9 Discrimination and classification.

      10 Missing data and outliers.

      11 Analysis of tabular data.

      12 Computer-intensive methods.

      13 Spatial analysis.

      14 Bayesian methods.

      15 Absolute dating – radiocarbon calibration.

      16 Relative dating – seriation.

      17 Quantification.

      18 Lead isotope analysis.

      19 The megalithic yard.

      20 Comparing assemblage diversity.

      21 Shorter studies.

      Appendix – Web resources.

      A.1 S - Plus and R.

      A.2 Other resources.

      References.

      Index.

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