This book presents the particular statistical methodolgies which can be used to address specific issues and problems in archeology. Through in-depth case studies, the author illustrates how such techniques can be employed in the archeological context. The examples are taken from a wide range of countries and reflect the international nature of archeology, and its students and practioners. The technical level of the book is intermediate, and so is suitable for the academic, the professional archeologist and applied statisticians.
Table of Contents
Data sets and problems; kernel density estimates; sampling; regression and related models; multivariate methods; principal component analysis and related methods; cluster analysis; discrimination and classification; missing data and outliers; analysis if tubular data; computer-intensive methods; spatial analysis; bayesian methods; absolute dating - radiocarbon calibration; relative dating - seriation; quantification; lead isotope analysis; the megalithic yard; comparing assembage diversity; shoerter studies.
Michael Baxter is Reader in Archaeological Statistics at Nottingham Trent University, UK