Quantitative Methods in Archaeology Using R PDF Download
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Author: David L. Carlson
Publisher: Cambridge University Press
ISBN: 1107040213
Category : Computers
Languages : en
Pages : 453
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Book Description
The first step-by-step guide to the quantitative analysis of archaeological data using the R statistical computing system.
Author: David L. Carlson
Publisher: Cambridge University Press
ISBN: 1107040213
Category : Computers
Languages : en
Pages : 453
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Book Description
The first step-by-step guide to the quantitative analysis of archaeological data using the R statistical computing system.
Author: Todd L. VanPool
Publisher: John Wiley & Sons
ISBN: 1444390171
Category : Social Science
Languages : en
Pages : 320
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Book Description
Quantitative Analysis in Archaeology introduces the application of quantitative methods in archaeology. It outlines conceptual and statistical principles, illustrates their application, and provides problem sets for practice. Discusses both methodological frameworks and quantitative methods of archaeological analysis Presents statistical material in a clear and straightforward manner ideal for students and professionals in the field Includes illustrative problem sets and practice exercises in each chapter that reinforce practical application of quantitative analysis
Author: Robert D. Drennan
Publisher: Springer Science & Business Media
ISBN: 1441904131
Category : Social Science
Languages : en
Pages : 332
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Book Description
In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, this teaching tool introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-illustrated guide features several practice problems making it an ideal text for students in archaeology and anthropology. Using feedback from students and teachers who have been using the first edition, as well as another ten years of personal experience with the text, the author has provided an updated and revised second edition with a number of important changes. New topics covered include: -Proportions and Densities -Error Ranges for Medians -Resampling Approaches -Residuals from Regression -Point Sampling -Multivariate Analysis -Similarity Measures -Multidimensional Scaling -Principal Components Analysis -Cluster Analysis Those already familiar with the clear and useful format of Statistics for Archaeologists will find this new edition a welcome update, and the new sections will make this seminal textbook an indispensible resource for a whole new group of students, professors, and practitioners.
Author: Grant S. McCall
Publisher: Routledge
ISBN: 1351802941
Category : Social Science
Languages : en
Pages : 519
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Book Description
It is little secret that most archaeologists are uneasy with statistics. Thankfully, in the modern world, quantitative analysis has been made immensely easier by statistical software packages. Software now does virtually all our statistical calculations, removing a great burden for researchers. At the same time, since most statistical analysis now takes place through the pushing of buttons in software packages, new problems and dangers have emerged. How does one know which statistical test to use? How can one tell if certain data violate the assumptions of a particular statistical analysis? Rather than focusing on the mathematics of calculation, this concise handbook selects appropriate forms of analysis and explains the assumptions that underlie them. It deals with fundamental issues, such as what kinds of data are common in the field of archaeology and what are the goals of various forms of analysis. This accessible textbook lends a refreshing playfulness to an often-humorless subject and will be enjoyed by students and professionals alike.
Author: R. Lee Lyman
Publisher: Cambridge University Press
ISBN: 1139471120
Category : Social Science
Languages : en
Pages : 309
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Book Description
Quantitative Paleozoology describes and illustrates how the remains of long-dead animals recovered from archaeological and paleontological excavations can be studied and analyzed. The methods range from determining how many animals of each species are represented to determining whether one collection consists of more broken and more burned bones than another. All methods are described and illustrated with data from real collections, while numerous graphs illustrate various quantitative properties.
Author: Clive Orton
Publisher: Cambridge University Press
ISBN: 9780521566667
Category : History
Languages : en
Pages : 284
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Book Description
The first overview of sampling for archaeologists for over twenty years, this manual offers a comprehensive account of the applications of statistical sampling theory which are essential to modern archaeological practice at a range of scales, from the regional to the microscopic. Bringing archaeologists up to date with an aspect of their work which is often misunderstood, it includes a discussion of the relevance of sampling theory to archaeological interpretation, and considers its fundamental place in fieldwork and post-excavation study. It demonstrates the vast range of techniques that are available, only some of which are widely used by archaeologists. A section on statistical theory also reviews latest developments in the field, and the formal mathematics is available in an appendix, cross-referenced with the main text.
Author: A. Bernard Knapp
Publisher: Cambridge University Press
ISBN: 9780521411745
Category : History
Languages : en
Pages : 178
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Book Description
This collection considers the relevance of the Annales 'school' for archaeology. The Annales movement regarded orthodox history as too much concerned with events, too narrowly political, too narrative in form and too isolated from neighbouring disciplines. Annalistes attempted to construct a 'total' history, dealing with a wide range of human activity, and combining divergent material, documentary, and theoretical approaches to the past. Annales-oriented research utilizes the techniques and tools of various ancillary fields, and integrates temporal, spatial, material and behavioural analyses. Such an approach is obviously attractive to archaeologists, for even though they deal with material data rather than social facts, they are just as much as historians interested in understanding social, economic and political factors such as power and dominance, conflict, exchange and other human activities. Three introductory essays consider the relationship between Annales methodology and current archaeological theory. Case studies draw upon methodological variations of the multifaceted Annales approach. The volume concludes with two overviews, one historical and the other archaeological.
Author: John Braun
Publisher:
ISBN: 9780521872652
Category : Computers
Languages : en
Pages : 163
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Book Description
The only introduction you'll need to start programming in R.
Author: Herbert D. G. Maschner
Publisher: Rowman Altamira
ISBN: 9780759100787
Category : Social Science
Languages : en
Pages : 1502
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Book Description
The Handbook of Archaeological Methods comprises 37 articles by leading archaeologists on the key methods used by archaeologists in the field, in analysis, in theory building, and in managing cultural resources. The book is destined to become the key reference work for archaeologists and their advanced students on contemporary archaeological methods.
Author: Quan Li
Publisher: Oxford University Press
ISBN: 0190656247
Category : Political Science
Languages : en
Pages : 369
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Book Description
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
