The second edition of this popular textbook introduces archaeology students to the use of statistics in their subject. Based on the author's long-running undergraduate course, it explains the relevant areas of statistics in terms that archaeology students can easily assimilate. This new edition includes a wider range of topics presented in greater depth, reflecting the subject's growing importance within archaeology.
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Book Description
Editorial Reviews
Review
This is a satisfying book that I would recommend to undergraduate students and professionalarchaeologists alike. -- Andy Boddington, Royal Archaeological Institute This is a book that will be invaluable to those undergraduates and researchers looking for an up-to-date guide to the use of numerical methods in archaeology. -- A M Pollard Shennan's book is clearly one of the most comprehensive, even readable, introductions tostatistical methods as they are applied to archaeology. This is a satisfying book that I would recommend to undergraduate students and professionalarchaeologists alike. This is a book that will be invaluable to those undergraduates and researchers looking for an up-to-date guide to the use of numerical methods in archaeology. Shennan's book is clearly one of the most comprehensive, even readable, introductions tostatistical methods as they are applied to archaeology.
From the Back Cover
Reconstructing and exploring the past through archaeological evidence is not an easy or trivial task, and an absolute prerequisite for progress is the recognition of patterns in archaeological data. Rarely are these immediately apparent in the masses of material which archaeologists uncover. Quantitative methods of data analysis provide an indispensible means of detecting such patterning in a systematic and organised fashion.
This book introduces archaeologists to the most important quantitative methods, from the initial description of archaeological data to techniques of multivariate analysis. These are presented in the context of familiar problems in archaeological practice, an approach designed to illustrate their relevance and to overcome the fear of mathematics from which archaeologists often suffer.
The book arises from courses which the author has given over a number of years from first-year to Master's level. Through worked examples it will help students understand how archaeological problems can be posed in quantitative terms; how to use basic quantitative methods to analyse archaeological data and how to realise when advise from experts is needed to solve specific complex problems.
Dr. Stephen Shennan is a lecturer in Archaeology at the University of Southampton, where he has taught this subject to first-year students for several years. --This text refers to an out of print or unavailable edition of this title.
This book introduces archaeologists to the most important quantitative methods, from the initial description of archaeological data to techniques of multivariate analysis. These are presented in the context of familiar problems in archaeological practice, an approach designed to illustrate their relevance and to overcome the fear of mathematics from which archaeologists often suffer.
The book arises from courses which the author has given over a number of years from first-year to Master's level. Through worked examples it will help students understand how archaeological problems can be posed in quantitative terms; how to use basic quantitative methods to analyse archaeological data and how to realise when advise from experts is needed to solve specific complex problems.
Dr. Stephen Shennan is a lecturer in Archaeology at the University of Southampton, where he has taught this subject to first-year students for several years. --This text refers to an out of print or unavailable edition of this title.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars
good overview,
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This review is from: Quantifying Archaeology (Hardcover)
Its a great overview of all the major statistical methods used in archaeology to examine data, and the best thing is, its written in plain english for anyone with a bit of mathematical knowledge to understand. And its by far the best one among the bunch of "statistics" books in the field. Great value for money, as youll always be going back to it. Great reference material.
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Inside This Book
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First Sentence:
The aim of this book is to make students of archaeology familiar with some of the basic quantitative methods used within the discipline as well as some of the more advanced ones which are widely used. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
posthole diameters, fill sherds, pottery quantity, grave goods types, mesolithic assemblages, notional distribution, lithic types, lithic artefacts, grave cist, randomisation test, nominal scale variables, available agricultural land, female burials, divisive methods, ordination methods, negative matches, finite population correction, standardised residuals, flake scars, squared loadings, regression plane, archaeological example, site size Key Phrases - Capitalized Phrases (CAPs): (learn more)
Cor Ctr Comp, Bronze Age, Mount Pleasant, New Forest, United States, Units Name Qlt Mass Inr Comp, Average Unit, Component Eigenvalue New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The aim of this book is to make students of archaeology familiar with some of the basic quantitative methods used within the discipline as well as some of the more advanced ones which are widely used. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
posthole diameters, fill sherds, pottery quantity, grave goods types, mesolithic assemblages, notional distribution, lithic types, lithic artefacts, grave cist, randomisation test, nominal scale variables, available agricultural land, female burials, divisive methods, ordination methods, negative matches, finite population correction, standardised residuals, flake scars, squared loadings, regression plane, archaeological example, site size Key Phrases - Capitalized Phrases (CAPs): (learn more)
Cor Ctr Comp, Bronze Age, Mount Pleasant, New Forest, United States, Units Name Qlt Mass Inr Comp, Average Unit, Component Eigenvalue New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 32
books:
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12
books
cite this book:
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- Kernel Smoothing (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by M.P. Wand in Front Matter, page 29, and Back Matter
- Cluster Analysis by Brian S. Everitt on page 236, page 239, and Back Matter
- Mathematics in Archaeology by Clive Orton on page 2, and Back Matter
- New Cambridge Statistical Tables by Dennis V. Lindley in Front Matter, and Back Matter
- Tables for Statisticians Pb by John White in Front Matter, and Back Matter
See all 32 books this book cites
- The Archaeologist's Laboratory: The Analysis of Archaeological Data (Interdisciplinary Contributions to Archaeology) by E.B. Banning on page 72, and page 92
- Bayesian Approach to Interpreting Archaeological Data (Statistics in Practice) by Caitlin E. Buck on page 10, and Back Matter
- Death-Ritual and Social Structure in Classical Antiquity (Key Themes in Ancient History) by Ian Morris in Back Matter (1), and Back Matter (2)
- Archaeological Survey (Manuals in Archaeological Method, Theory and Technique) by E.B. Banning in Back Matter
- Using Computers in Archaeology: Towards Virtual Pasts by Gary Lock in Back Matter
See all 12 books citing this book
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