This volume presents four techniques of multivariate analysis commonly used by archaeologists (principal component analysis, correspondence analysis, cluster analysis, and discriminant analysis). Employing "ordinary language" and real data sets, and including extensive literature reviews, the book illustrates how these statistical techniques can be applied to specific archaeological questions. A new introduction by the author updates his discussion in light of subsequent developments in the field of quantitative archaeology. Originally published by Edinburgh University Press in 1994.



M. J. Baxter, Department of Physics and Mathematics, Nottingham Trent University, Nottingham, UK.



Introduction to the Percheron Press Edition Chapter 1. Multivariate Statistics in Archaeology Chapter 2. Univariate and Bivariate Approaches and Preliminary Data Analysis Chapter 3. Principal Component Analysis - The Main Ideas Chapter 4. Principal Component Analysis - Specialised Topics Chapter 5. Correspondence Analysis - The Main Ideas Chapter 6. Correspondence Analysis - Extensions Chapter 7. Cluster Analysis - The Main Ideas Chapter 8. Cluster Analysis - Some Problems Chapter 9. Discriminant Analysis - The Main Ideas Chapter 10. Further Aspects of Discriminant Analysis Chapter 11. The Final Chapter Appendixes Bibliography Index