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Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
Author(s) -
Ágnes Schneider
Publication year - 2020
Publication title -
dissertationes archaeologicae ex instituto archaeologico universitatis de rolando eötvös nominatae
Language(s) - English
Resource type - Journals
ISSN - 2064-4574
DOI - 10.17204/dissarch.2019.101
Subject(s) - artifact (error) , multivariate statistics , archaeology , multivariate analysis , statistical analysis , workflow , sample (material) , geography , computer science , statistics , artificial intelligence , mathematics , database , chemistry , chromatography
This study would like to provide an open-source and reproducible workflow for multivariate statistical analysis of archaeological contexts, e.g. cemeteries. Further the study does not wish to republish the cemetery – it only discusses diagnostic artifact types which can be used for dating this specific cemetery.Also, the study shows that multivariate statistical analysis can be useful and that a bigger sample size (cemetery), higher number of artifacts and more associated artifact types in closed contexts can deliver better and more useful information for dating cemeteries or even building regional chronologies.

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