Statistics in Archaeology

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. These examples are taken from a wide range of different countries and reflect the international nature of archaeology, and its students and practitioners. The technical level of the book is intermediate and is for the academic and professional archaeologist needing to know more about the statistical techniques available to them. The structure and content of the book mean that it will also appeal to applied statisticians interested in how statistical methods can be used in different application areas.

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.