ANTHROPOLOGIE
International Journal of Human Diversity and Evolution
 
Coverage: 1923-1941 (Vols. I-XIX) & 1962-2018 (Vols. 1-56)
ISSN 0323-1119 (Print)
ISSN 2570-9127 (Online)
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Vol. 57, issue 2/2019 is in preparation.

World Archaeological Congres 9
 

 
 
 
 
 
 
 
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Full text of article
'Vančata V, 1981: Utilization of Mathematical Methods in the Study of the Human Evolution: The Problem of the Morphofunctional Research in Paleoanthropology. Anthropologie (Brno) 19, 3: 205-217'.
 
Abstract
The endeavour to make morphological information objective resulted in introduction of mathematical and statistical methods in morphology. These methods are especially important when fossil material and the evolutionary process is investigated. The description of the biological shape is of utmost importance in the analysis of the fossil material. Parameters, characterizing the form have to be not only optimal, but also adequate to the problem in question. In biomechanical analyses mathematical modelling is of great importance, even if its methods have to be further developed, so that they would be consistent with given types of biological problems or would not simplify the problems too much. To evaluate results statistical methods are especially important, particularly when data are processed. It is necessary to consider thoroughly the suitability of the application of univariate or multivariate methods, both with the respect to the given problem and the potential results. Multivariate methods offer, in spite of their intricacy, results of complex character, which can be very useful especially in evolutionary studies. In the study the analysis of the proximal epiphysis of the femur of primates is used us a concrete example for the utilization of the multivariate methods. Transformations of the input data used show the possibilities of corrections when samples are deficient in various ways. Results of the treatment of groups with different systematical structure stress the necessity of a preliminary biological and evolutionary analysis of the sample before the proper application of the multivariate methods. Neglect of these principles could result in distorted or even erroneous results.
 
 
 
 

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