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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.
- Sales Rank: #3354412 in Books
- Published on: 2015-02-28
- Original language: English
- Number of items: 1
- Dimensions: 8.70" h x .80" w x 5.90" l, .0 pounds
- Binding: Paperback
- 330 pages
Review
"There are many things to admire about this book. . . . [T]he treatment of the methods is very solid and to the point. I especially like the way in which Baxter explores their strengths and weaknesses in applied settings. . . . [W]ritten at a level that most archaeologists will find comprehensible." Mark S. Aldenderfer in American Antiquity "[A]n excellent tool and reference for the practicing archaeo-statistician, as well as for the novice who wishes to get acquainted with multivariate statistical methods. In it one obtains practical advice from an experienced practitioner . . . . I like this book and recommend it." Kenneth L Kvamme in Archaeological Computing Newsletter "[A] no-nonsense account of the main multivariate techniques used in archaeology . . . . The style is straightforward and clear, and well in tune with the needs of the reader. . . . The tone is balanced and reasonable . . . . [F]or anyone who analyses multivariate data in archaeology." Clive Orton in Journal of Archaeological Science
About the Author
M.J. Baxter is Professor Emeritus at Nottingham Trent University, UK.
Most helpful customer reviews
0 of 2 people found the following review helpful.
A best book not only for archaeologist
By A Customer
Don't be confused by the title. It's said to be a good book for statistics in all area.
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