Modelling Identities [electronic resource] : A Case Study from the Iron Age of South-East Europe / by Catalin Nicolae Popa.
Tipo de material: TextoSeries Quantitative Archaeology and Archaeological ModellingEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XIII, 272 p. 68 illus., 29 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319632674Tema(s): Archaeology | Computer simulation | Archaeology | Simulation and ModelingFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 930.1 Clasificación LoC:CC1-960Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Chapter 1. Introduction -- Chapter 2. Final resting place. The archaeological data -- Chapter 3. The working apparatus. Identity and statistics -- Chapter 4. A complex answer. Results description -- Chapter 5. From large to small. Results discussion -- Chapter 6. The overall picture. Concluding interpretations.
This volume investigates the construction of group identity in Late La Tène South-East Europe using an innovative statistical modelling method. Death and burial theory underlies the potential of mortuary practices for identity research. The sample used for this volumes's research consists of 370 graves, organized in a specially crated database that records funerary ritual; and grave-good information. In the case of grave-goods, this involved found hierarchically organized categorical variables, which serve to describe each item by combining functional and typological features. The volume also aims to show the compatibility of archaeological theory and statistical modelling. The discussions from archaeological theory rarely find methodological implementations through statistical methods. In this volume, theoretical issues form an integrative part of data preparation, method development and result interpretation.
UABC ; Temporal ; 01/01/2021-12/31/2023.