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Numerical procedures for stature estimating according to length of limb long bones in Bulgarian and Hungarian populations
Citation
Tenekedjiev, KI and Radoinova, D, Numerical procedures for stature estimating according to length of limb long bones in Bulgarian and Hungarian populations, Acta Morphologica et Anthropologica, 6 pp. 90-97. ISSN 1311-8773 (2001) [Refereed Article]
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Copyright Statement
Copyright 2001 Acta Morphologica et Anthropologica
Official URL: http://www.iempam.bas.bg/journals/acta.html
Abstract
The purose of the current study is to create numerical procedures for assessment and predicting the
human stature by the length of one of the three long pipe bones - humerus, fbula and tibia, as well as
by a combination of humerus and tibia. The procedures are applied to our own corpse measurements,
arranged in four samples: 129 Bulgarian women and 286 Bulgarian men, 84 women and 186 men of
Hungarian origin. New formulas of stochastic dependence between the variables observed are derived.
Six different approaches concerning age correction are applied. Based on single samples 96 cases of
different regression dependencies are built (4 tasks times 4 samples times 6 correction methods). The
outliers are rejected in each regression then the regression is tested for heteroskedasticity using 11 tests.
Whenever we detect heteroskedasticity, we try to remove it by using a dispersion model. There are also
built 144 cases of regression dependencies based on two samples united by sex, nationality and both
(4 tasks times 6 couples of samples times 6 corrective methods). The stability of the coefficients is
calculated by 4 tests according to 7 theories. The applicability of the best known formulas for the
samples studied in both populations is evaluated.
Item Details
Item Type: | Refereed Article |
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Keywords: | stature estimation |
Research Division: | Information and Computing Sciences |
Research Group: | Theory of computation |
Research Field: | Numerical computation and mathematical software |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the information and computing sciences |
UTAS Author: | Tenekedjiev, KI (Professor Kiril Tenekedjiev) |
ID Code: | 127978 |
Year Published: | 2001 |
Deposited By: | Governance Office |
Deposited On: | 2018-08-26 |
Last Modified: | 2018-10-12 |
Downloads: | 0 |
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