Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology) - Tapa blanda

Libro 11 de 13: Cambridge Manuals in Archaeology

Carlson, David L.

 
9781107655577: Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology)
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ISBN 10: 1107655579 ISBN 13: 9781107655577
Editorial: Cambridge University Press, 2017

Sinopsis

Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically for archaeologists. It shows how to use the system to analyze many types of archaeological data. Part I includes tutorials on R, with applications to real archaeological data showing how to compute descriptive statistics, create tables, and produce a wide variety of charts and graphs. Part II addresses the major multivariate approaches used by archaeologists, including multiple regression (and the generalized linear model); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster analysis. Part III covers specialized topics in archaeology, including intra-site spatial analysis, seriation, and assemblage diversity.

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Acerca del autor

David L. Carlson is a Professor of Anthropology at Texas A & M University, where he has been teaching quantitative methods and the R statistical system to anthropology graduate students for eight years. His research focuses on the application of quantitative methods to discover and understand patterning in the distribution of artifacts on archaeological sites. He is a co-author of Clovis Lithic Technology (2011).

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Editorial
Cambridge University Press
Año de publicación
2017
Idioma
Inglés
ISBN 10 
1107655579
ISBN 13 
9781107655577
Encuadernación
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Número de páginas
452
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Alemania

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9781107040212: Quantitative Methods in Archaeology Using R (Cambridge Manuals in Archaeology)

Edición Destacada

ISBN 10:  1107040213 ISBN 13:  9781107040212
Editorial: Cambridge University Press, 2017
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