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Statistically robust representation and comparison of mortality profiles in archaeozoology

机译:考古学中死亡率统计的稳健表示和比较

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Archaeozoological mortality profiles have been used to infer site-specific subsistence strategies. There is however no common agreement on the best way to present these profiles and confidence intervals around age class proportions. In order to deal with these issues, we propose the use of the Dirichlet distribution and present a new approach to perform age-at-death multivariate graphical comparisons. We demonstrate the efficiency of this approach using domestic sheep/goat dental remains from 10 Cardial sites (Early Neolithic) located in South France and the Iberian Peninsula. We show that the Dirichlet distribution in age-at-death analysis can be used: (i) to generate Bayesian credible intervals around each age class of a mortality pkofile, even when not all age classes are observed; and (ii) to create 95% kernel density contours around each age-at-death frequency distribution when multiple sites are compared using correspondence analysis. The statistical procedure we present is applicable to the analysis of any categorical count data and particularly well-suited to archaeological data (e.g. potsherds, arrow heads) where sample sizes are typically small. (C) 2016 Elsevier Ltd. All rights reserved.
机译:考古学死亡率概况已用于推断特定地点的生存策略。但是,关于以年龄段比例呈现这些资料和置信区间的最佳方法尚无共同的共识。为了解决这些问题,我们建议使用Dirichlet分布,并提出一种新方法来进行死亡年龄多元图形比较。我们展示了使用位于法国南部和伊比利亚半岛的10个Cardial遗址(新石器时代早期)的家养绵羊/山羊牙齿残骸的方法的有效性。我们显示死亡年龄分析中的狄利克雷分布可用于:(i)在死亡pkofile的每个年龄级别周围生成贝叶斯可信区间,即使未观察到所有年龄级别也是如此; (ii)使用对应分析比较多个站点时,在每个死亡年龄频率分布周围创建95%的内核密度轮廓。我们提供的统计程序适用于任何分类计数数据的分析,尤其适合于样本量通常较小的考古数据(例如陶器,箭头)。 (C)2016 Elsevier Ltd.保留所有权利。

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