Estimating the age structure of a buried adult population
A new statistical approach applied to archaeological digs in France
Bibliographic Data
| ID | 8315671 |
|---|---|
| Authors | Isabelle Séguy (0000-0002-7788-4823, Centre National de la Recherche Scientifique, corresponding author), Henri Caussinus (Université Toulouse III - Paul Sabatier), Daniel Courgeau (0000-0003-4146-9879, Institut national d'études démographiques), Luc Buchet (Centre National de la Recherche Scientifique) |
| Year | 2013 |
| Volume | 150 |
| Issue | 2 |
| Pages | 170-183 |
| Publication date | 2013-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Physical Anthropology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9483 • E-ISSN: 1096-8644 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajpa.22187 |
| PMID | 23184626 |
| OpenAlex | W2109677483 |
| Language | EN |
| Citations received | 19 |
| References cited | 15 |
Paleodemographers have developed several methods for estimating the age structure of historical populations in absence of civil registration data. Starting from biological indicators alone, they use a reference population of known sex and age to assess the conditional distribution of the biological indicator given age. However, the small amount of data available and the unstable nature of the related statistical problem mean that most methods are disappointing. Using the most reliable reference data possible, we propose a simple statistical method, integrating the maximum amount of information included in the actual data, which quite significantly improves age estimates for a buried population. Here the method is applied to a French cemetery used from Late Antiquity to the end of the Early Middle Ages. Am J Phys Anthropol, 2013. © 2012 Wiley Periodicals, Inc
Age structure · Archaeology · Geography · Population · Statistical analysis · Statistics · Archaeology and ancient environmental studies · Demography · Forensic Anthropology and Bioarchaeology Studies · Historical Economic and Social Studies · Mathematics
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| Unique citing works | 19 |
|---|---|
| Citations per year | 1,46 |
| Citation span | 2013 - 2026 (14) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 18 |