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Estimating Fossil Hominin Body Mass From Cranial Variables: An Assessment Using CT Data From Modern Humans of Known Body Mass

机译:从颅骨变量估算化石人均体重:使用现代人体已知体重的CT数据进行评估

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摘要

Body mass estimates are integral to a wide range of inferences in paleoanthropology. Most techniques employ postcranial elements, but predictive equations based on cranial variables have also been developed. Three studies currently provide regression equations for estimating mass from cranial variables, but none of the equations has been tested on samples of known mass. Nor have the equations been compared to each other in terms of performance. Consequently, this study assessed the performance of existing cranial equations using computed tomography scans from a large, documented sample of modern humans of known body mass. Virtual models of the skull were reconstructed and measured using computer software, and the resulting variables were entered into three sets of published regression equations. Estimated and known body masses were then compared. For most equations, prediction errors were high and few individuals were estimated within 620% of their known mass. Only one equation satisfied the accuracy criteria. In addition, variables that had been previously argued to be good predictors of mass in hominins, including humans, did not estimate mass reliably. These results have important implications for paleoanthropology. In particular, they emphasize the need to develop new equations for estimating fossil hominin body mass from cranial variables.
机译:体重估计是古人类学广泛推论中不可或缺的部分。大多数技术都采用颅后要素,但是也已经开发了基于颅变量的预测方程。目前有三项研究提供了用于根据颅骨变量估算体重的回归方程式,但是这些方程式均未在已知质量的样本上进行过测试。方程也没有在性能方面相互比较。因此,本研究使用计算机断层扫描技术从大量已知体重的现代人类样本中,通过计算机断层扫描技术评估了现有颅骨方程的性能。使用计算机软件重建和测量头骨的虚拟模型,并将所得变量输入三组已发布的回归方程中。然后比较估计的体重和已知的体重。对于大多数方程,预测误差很高,估计在其已知质量的620%范围内的个体很少。只有一个方程满足精度标准。此外,以前被认为是包括人在内的人源蛋白质量的良好预测指标的变量不能可靠地估算质量。这些结果对古人类学具有重要意义。他们特别强调需要开发新的方程式,以根据颅骨变量估算化石人均体重。

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