平均相关矩阵在颅骨测量中的应用

I. Shirobokov
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引用次数: 1

摘要

本文提出了20个颅特征的平均相关矩阵,计算了24个欧亚男性样本。在某些情况下,不同样本计算的相关矩阵差异很大;然而,系数的波动通常是随机的。颅特征间的相关系数大多呈低正值。经常用于比较矩阵的Mantel检验会产生不正确的结果,因为它对相关系数的值与其稳定性之间的关系不敏感:相关系数的值越低,其随机变异性越高。同时,基于个体数据的平均相关矩阵与目前俄罗斯人类学家使用的基于世界范围数据的平均相关矩阵相似。平均相关矩阵对组间比较的有用性已经得到了检验。还表明,使用平均矩阵计算马氏距离产生的结果可与基于个别数据的计算相媲美。分析的样本既可以代表当地定居点的人口,也可以代表领土社区的人口。对东欧颅骨样本进行的一系列测试结果证实了这一点,这些测试没有用于计算平均矩阵。最后,考虑了相关系数分析中由于对其性质的错误认识而产生的一些偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the application of the averaged correlation matrix in craniometry
The article presents an averaged correlation matrix for 20 craniometric features, calculated for 24 male Eurasian samples. In some cases, correlation matrices calculated for different samples vary significantly; however, the fluctuations in the coefficients are usually random. Most correlation coefficients between craniometric traits have low positive values. The Mantel test, often used to compare matrices, produces incorrect results, since it is insensitive to the relationship between the value of the correlation coefficient and its stability: the lower the value of the correlation coefficient, the higher its random variability. At the same time, averaged correlation matrix based on individual data is similar to the averaged correlation matrices based on worldwide data used by Russian anthropologists at present. The usefullness of averaged correlation matrices for intergroup comparisons has been tested. It was also shown that the use of the averaged matrix for calculating the Mahalanobis distances produces results comparable to the calculations based on individual data. The analyzed samples can represent populations both from the local settlements and territorial communities. That was confirmed by the results of a series of tests for the Eastern European cranial samples, which were not used in the calculation of the averaged matrix. In conclusion some biases in the analysis of correlation coefficients caused by false ideas about their properties are considered.
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