Skeletal element independence and implications for quantification
Autor: | Valerie Sgheiza |
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Rok vydání: | 2021 |
Předmět: |
010506 paleontology
Archeology 060102 archaeology Estimator Probability density function Multivariate normal distribution 06 humanities and the arts 01 natural sciences Hierarchical clustering Correlation Distance matrix Recovery rate Statistics 0601 history and archaeology Independence (probability theory) 0105 earth and related environmental sciences Mathematics |
Zdroj: | Journal of Archaeological Science: Reports. 35:102796 |
ISSN: | 2352-409X |
DOI: | 10.1016/j.jasrep.2021.102796 |
Popis: | This work was undertaken to test skeletal element types for independence of recovery. This informs the accurate representation of uncertainty in existing estimators of number of individuals, such as Most Likely Number of Individuals (MLNI). Calculations based on elements that have dependent recovery probability will underestimate uncertainty. Appendicular skeletal inventories were collected from three forensic and three archaeological samples of individuated remains (N = 201). Analyses were performed in R on a distance matrix derived from correlation of 18 left and right skeletal elements. The effect of dependent element types and dependent antimeres on MLNI estimation was tested via simulation from a multivariate normal distribution with an initial population size of 100, 3 element types, and a 50% recovery rate. Hierarchical clustering showed a consistent division between the upper and lower extremities. The clavicle showed potential association of antimeres and buried remains showed a positive correlation between recovery rate and recovery relatedness. According to simulations, element type dependence increases MLNI variability without a corresponding increase in Highest Probability Density Region (HPD) width, resulting in reduced HPD accuracy. Antimere dependence causes a rapid decline in MLNI values, reducing HPD accuracy five times faster than type dependence. When calculating MLNI, avoidance of highly dependent antimeres should be prioritized. The analyst should then select taphonomically robust elements from both the upper and lower extremities. |
Databáze: | OpenAIRE |
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