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ISBN 10: 1009181874 ISBN 13: 9781009181877
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Published by Cambridge University Press, 2024
ISBN 10: 1009181874 ISBN 13: 9781009181877
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009181874 ISBN 13: 9781009181877
Language: English
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Published by Cambridge University Press, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
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Published by Cambridge University Press, 2024
ISBN 10: 1009181874 ISBN 13: 9781009181877
Language: English
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Published by Cambridge University Press, GB, 2025
ISBN 10: 1009506641 ISBN 13: 9781009506649
Language: English
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Add to basketPaperback. Condition: New. This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided in this Element.
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ISBN 10: 1009506641 ISBN 13: 9781009506649
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Published by Cambridge University Press, 2024
ISBN 10: 1009181874 ISBN 13: 9781009181877
Language: English
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ISBN 10: 1009181874 ISBN 13: 9781009181877
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ISBN 10: 1009181874 ISBN 13: 9781009181877
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Add to basketPaperback. Condition: Brand New. 96 pages. 5.98x0.20x9.02 inches. In Stock.
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Add to basketHardback. Condition: New. This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided in this Element.
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ISBN 10: 1009506641 ISBN 13: 9781009506649
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Add to basketPaperback. Condition: New. This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided in this Element.
Published by Cambridge University Press, 2024
ISBN 10: 1009181874 ISBN 13: 9781009181877
Language: English
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Add to basketHardcover. Condition: Brand New. 96 pages. 5.98x0.25x9.02 inches. In Stock.
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Language: English
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Add to basketHardback. Condition: New. This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided in this Element.
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