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Determining Provenance from Compositional Data
Brief Description
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have...
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Determining Provenance from Compositional Data
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Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. This Element reconsiders the use of statistical methods for provenance analysis of archaeological materials using a step-by-step procedure.
This volume highlights the classification methods in chemometrics, artificial intelligence, machine learning and knowledge discovery.
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Description
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences made.
Determining Provenance from Compositional Data reconsiders the use of statistical methods to address the problem of provenance analysis of archaeological materials using a step-by-step procedure that allows the recognition of natural groups in the data, thus obtaining better quality classifications while avoiding the problems of total or partial overlaps in the chemical groups (common in biplots).
To evaluate the methods proposed here, the challenge of group search in ceramic materials is addressed using algorithms derived from model-based clustering. For cases with partial data labelling, a semi-supervised algorithm is applied to obsidian samples.
Series: Elements in Current Archaeological Tools and Techniques
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Archaeoastronomy
How does archaeoastronomy assist archaeologists in comprehending the past of human societies? Archaeoastronomy is an interdisciplinary field that combines scientific principles and astronomical measurements to enhance our understanding of ancient cultures. Its interdisciplinary character appears by blending areas of the natural sciences, such as astronomy, physics, mathematics, and even geology or biology, with others of the social sciences and humanities,...Hardback$23400Unit price /UnavailableAvailableShips in 2-3 weeks -
Determining Provenance from Compositional Data
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences...Hardback$21400Unit price /UnavailableAvailableShips in 2-3 weeks -
Determining Provenance from Compositional Data
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences...Paperback$7400Unit price /UnavailableAvailableShips in 2-3 weeks
Book Details
INFORMATION
ISBN: 9781009634175
Publisher: Cambridge University Press
Format: Paperback / softback
Date Published: 26 March 2026
Country: United Kingdom
Imprint: Cambridge University Press
Illustration: Worked examples or Exercises
Audience: General / adult
DIMENSIONS
Weight: 139g
Pages: 86
Also by Denisse L. Argote
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Determining Provenance from Compositional Data
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences...Hardback$21400Unit price /UnavailableAvailableShips in 2-3 weeks
Also by Pedro A. López-García
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Determining Provenance from Compositional Data
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing published research, which usually claims to have reached a high degree of confidence in the assignment of materials, the authors have detected that those applying these methods can make serious errors that compromise the inferences...Hardback$21400Unit price /UnavailableAvailableShips in 2-3 weeks
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