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Full Description
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.
Contents
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
