Abstract
For more than 50 years the Mean Measure of Divergence (MMD) has been one of the most prominent tools used in anthropology for the study of non-metric traits. However, one of the problems, in anthropology including palaeoanthropology (more often there), is the lack of big enough samples or the existence of samples without sufficiently measured traits. Since 1969, with the advent of bootstrapping techniques, this issue has been tackled successfully in many different ways. Here, we present a parametric bootstrap technique based on the fact that the transformed θ, obtained from the Anscombe transformation to stabilize the variance, nearly follows a normal distribution with standard deviation
Acknowledgements
This work is supported in part by PAPIIT project No. IN402720. The authors thank Pilar López Rico for her informatics services; Fernando González Hernández, Rubén González Zainez, and Patricia Peláez Flores for their computer advise.
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Supplementary Material
The online version of this article offers supplementary material (DOI:https://doi.org/10.1515/ijb-2019-0117).
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