eCite Digital Repository

Numerical procedures for stature estimating according to length of limb long bones in Bulgarian and Hungarian populations


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]

Restricted - Request a copy

Copyright Statement

Copyright 2001 Acta Morphologica et Anthropologica

Official URL:


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
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

Repository Staff Only: item control page