Department of Sociology and Anthropology, NC State University, CB 8107, Raleigh, NC 27695-8107, United States.
Forensic Sci Int. 2011 Jan 30;204(1-3):206.e1-3. doi: 10.1016/j.forsciint.2010.07.028. Epub 2010 Aug 21.
In the analysis of human skeletal or otherwise unidentifiable remains the assessment of sex is an initial vital element when rendering a biological profile. As such other aspects of the biological profile are sex-specific (e.g. stature and age) and cannot be successfully determined without this preliminary assessment. In addition, the estimation of stature is an essential parameter of the biological profile, which is often used to confirm or exclude presumptive identifications. The purpose of this study is to present newly developed local identification criteria for the estimation of sex from the postcrania and stature for Chileans. Linear discriminant functions were derived for the humerus and femur. Sexing accuracies of 87%, 86%, and 82% were achieved. Furthermore, new univariate predictive stature equations are presented using a Bayesian approach for the humerus, femur and tibia.
在分析人类骨骼或其他无法识别的遗骸时,评估性别是生成生物学特征时的初始重要因素。因此,生物学特征的其他方面是性别特异性的(例如,身高和年龄),如果没有这个初步评估,就无法成功确定。此外,身高估计是生物学特征的一个基本参数,通常用于确认或排除推测的身份。本研究的目的是为智利人提供从颅后骨骼和身高推断性别的新的本土化识别标准。得出了肱骨和股骨的线性判别函数。使用这些函数,性别鉴定的准确率分别达到了 87%、86%和 82%。此外,还使用贝叶斯方法提出了新的用于预测肱骨、股骨和胫骨的单变量预测身高方程。