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Regression equations for the estimation of stature and body mass using a Greek documented skeletal collection

机译:使用希腊文献记载的骨骼收藏品估算身高和体重的回归方程

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摘要

Body size is an important variable in bioarchaeological and forensic studies, making the accurate calculation of stature and body mass imperative. Given that anatomical and morphometric approaches offer accurate results but require a particularly good preservation of the skeletal material, whereas mathematical and mechanical methods are more easily applicable but they are largely population-specific, the present paper uses a 'hybrid' approach in order to generate regression equations for the prediction of stature and body mass in a modern Greek sample. Specifically, anatomical and morphometric methods were used to calculate the stature and body mass of the individuals and regression equations using the Ordinary Least Squares and Reduced Major Axis methods were generated with long bone lengths and femoral head breadth as predictors. The obtained equations exhibit low random and directional error and perform better than existing equations designed using different samples from the United States, Europe, and the Balkans. Therefore, these equations are more appropriate for modern Greek material.
机译:身体大小是生物考古学和法医学研究中的重要变量,因此必须精确计算身高和体重。鉴于解剖学和形态学方法可提供准确的结果,但需要对骨骼材料进行特别好的保存,而数学和机械方法更易于应用,但它们在很大程度上是针对特定人群的,因此本文采用“混合”方法来生成在现代希腊样本中预测身高和体重的回归方程。具体来说,使用解剖学和形态学方法来计算个体的身高和体重,并使用“普通最小二乘”和“减少长轴”方法生成回归方程,并以长骨长和股骨头宽作为预测因子。与使用来自美国,欧洲和巴尔干地区的不同样本设计的现有方程式相比,所获得的方程式具有较低的随机误差和方向误差,并且具有更好的性能。因此,这些等式更适合现代希腊材料。

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  • 来源
    《HOMO》 |2017年第6期|422-432|共11页
  • 作者单位

    Cyprus Inst, Sci & Technol Archaeol Res Ctr, CY-2121 Nicosia, Cyprus;

    Univ Athens, Dept Biol, Div Anim & Human Physiol, Panepistimiopolis, Athens 15771, Greece;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 03:45:01

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