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Brief communication: A probabilistic approach to age estimation from infracranial sequences of maturation

机译:简述:从机壳的成熟序列估算年龄的概率方法

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摘要

Infracranial sequences of maturation are commonly used to estimate the age at death of nonadult specimens found in archaeological, paleoanthropological, or forensic contexts. Typically, an age assessment is made by comparing the degree of long-bone epiphyseal fusion in the target specimen to the age ranges for different stages of fusion in a reference skeletal collection. While useful as a first approximation, this approach has a number of shortcomings, including the potential for "age mimicry," being highly dependent on the sample size of the reference sample and outliers, not using the entire fusion distribution, and lacking a straightforward quantitative way of combining age estimates from multiple sites of fusion. Here we present an alternative probabilistic approach based on data collected on 137 individuals, ranging in age from 7- to 29-years old, from a documented skeletal collection from Coimbra, Portugal. We then use cross validation to evaluate the accuracy of age estimation from epiphyseal fusion. While point estimates of age can, at least in some circumstances, be both accurate and precise based on the entire skeleton, or many sites of fusion, there will often be substantial error in these estimates when they derive from one or only a few sites. Because a probabilistic approach to age estimation from epiphyseal fusion is computationally intensive, we make available a series of spreadsheets or computer programs that implement the approach presented here.
机译:颅内成熟序列通常用于估计在考古,古人类学或法医背景下发现的非成年标本的死亡年龄。通常,通过将目标样本中的长骨epi骨融合程度与参考骨骼集合中不同融合阶段的年龄范围进行比较,来进行年龄评估。尽管此方法可作为一阶近似值使用,但它有许多缺点,包括“年龄模仿”的可能性,它高度依赖于参考样品和离群值的样品大小,没有使用整个融合分布,并且缺乏直接的定量方法合并来自多个融合地点的年龄估算值的方法。在这里,我们根据从葡萄牙科英布拉(Coimbra)记录的骨骼收集的137位年龄在7岁至29岁之间的个体收集的数据,提出了另一种概率方法。然后,我们使用交叉验证来评估骨epi融合术估算年龄的准确性。尽管至少在某些情况下,基于整个骨骼或许多融合点的年龄点估计值可以是准确的,但当这些估计值来自一个或几个位置时,这些估计值通常会存在实质性错误。由于通过骨phy融合进行年龄估计的概率方法需要大量计算,因此我们提供了一系列实现此处介绍的方法的电子表格或计算机程序。

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