Summary: | the science discussion in 1990s. The discovering of statistical pattern in craniological
features characteristics, different for male and female skulls, was the goal of the
study.
Materials and methods. The craniological collection of Azerbaijanis, parts of
which scientists have been collecting from different regions of Republic of Azerbaijan
since 1970, was studied. 85 skulls (male – 50, female – 35) were examined by
craniological method. Standard craniometrical instruments, such as thick compasses
(accuracy 1mm.), digital caliper “ProsKit” (accuracy 10 micrometers), and metal
measuring tape (accuracy 1 mm.) were used to measure craniometrical indicators. In
each skull, 12 parameters were measured.
Results. Because of studying Azerbaijanis craniological collection it has been
detected that there were some gender specificity in independent craniometrical features
ratio. While pairwise comparison of some craniometrical features it was found
that their proportions to each other differs a lot due to gender. So researchers determined
probability of corresponding events. Taking into consideration all the data,
the diagnostic ratio for indicating sex by the skull was found with the help of Wal-
Goubler method based on Bayes theorem. In the end, the diagnostic model was developed
for predicting sex basing on craniometrical features analysis. However, this
diagnostic method did not pass verification on other craniological series, so it remains
open for science discussion and comments.
Conclusions.1. Craniometrical features for indicating gender dimorphisms by the
skull have not been depleted. 2. Certain statistical pattern in some craniometrical
features, which are claimed to predict gender in mathematic models were identified.
3. Discovered elements of gender dimorphisms need to be discussed and examined
on other craniological series.
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