Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary

Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary

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 spec...

Full description

Bibliographic Details
Main Author: Ágnes Schneider
Format: Article
Language:English
Published: Eötvös Loránd University 2020-10-01
Series:Dissertationes Archaeologicae: Ex Instituto Archaeologico Universitatis de Rolando Eötvös Nominatae
Online Access:http://ojs.elte.hu/dissarch/article/view/2262
id doaj-ba406efe027141cbbaf3ca4930cc6057
record_format Article
spelling doaj-ba406efe027141cbbaf3ca4930cc60572021-09-17T15:25:23ZengEötvös Loránd UniversityDissertationes Archaeologicae: Ex Instituto Archaeologico Universitatis de Rolando Eötvös Nominatae2064-45742020-10-013710.17204/dissarch.2019.101Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, HungaryÁgnes Schneider0Philipps-Universität, Marburg 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. http://ojs.elte.hu/dissarch/article/view/2262
collection DOAJ
language English
format Article
sources DOAJ
author Ágnes Schneider
spellingShingle Ágnes Schneider
Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
Dissertationes Archaeologicae: Ex Instituto Archaeologico Universitatis de Rolando Eötvös Nominatae
author_facet Ágnes Schneider
author_sort Ágnes Schneider
title Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
title_short Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
title_full Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
title_fullStr Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
title_full_unstemmed Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary
title_sort multivariate statistical analysis of archaeological contexts: the case study of the early la tène cemetery of szentlőrinc, hungary
publisher Eötvös Loránd University
series Dissertationes Archaeologicae: Ex Instituto Archaeologico Universitatis de Rolando Eötvös Nominatae
issn 2064-4574
publishDate 2020-10-01
description 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.
url http://ojs.elte.hu/dissarch/article/view/2262
work_keys_str_mv AT agnesschneider multivariatestatisticalanalysisofarchaeologicalcontextsthecasestudyoftheearlylatenecemeteryofszentlorinchungary
_version_ 1717377179535278080

Similar Items