Matskási István (szerk.): A Magyar Természettudományi Múzeum évkönyve 94. (Budapest 2002)

Radoinova, D., Tenekedjiev, K. ; Yordanov, Y.: Stature estimation according to bone length in Hungarian population

The correlation coefficient between the regression parameters is -0.998. The estimated standard error is 0.99 cm with a 0.86 cm to 1.16 cm 95% confidence interval. The adjusted coefficient of multiple determination is R 2 = 0.972. The 95% confidence intervals of the model coefficients are respectively: from 85.19 cm to 91.23 cm and from 2.201 cm to 2.365 cm. The regression parameters are significant (t-tests with P-value'

s < 0.0005) and the model (7) is adequate (ANOVA with P-value < 0.0005). The TROTTER-GLESER formula inadequately described the sample (P-value = 0.000% for each of the three formulae). The nomogram on fibula has shown on Fig. 6. II.

3. Maximal stature regression on tibia - Five outliers are rejected only in the first loop (n = 186-5 = 181). The test of GOLDFELD-QUANDT had detected heteroskedasticity with P-value = 0.0235. All the four models of the residuals' module are inadequate (ANOVA P-value > 0.3329). This shows practically negligible heteroskedasticity. The regression equation on tibia for Hungarian males is: (8) E[stature] = 94.25 + 2.128*T (1.051) (0.029) Fig. 7. Best fit parameters (star) with joint confidence regions (95% solid line, 99% dashed line, 99.9% dashdotted). Confidence regions of the regression parameters for model predicting the maximal stature of Hungarian males using the length of tibia with age correction according to GILES and BORCAN. The well-known formulas of BREITINGER (circle), TROTTER-GLESER (plus) and DUPERTUIS-HADDEN (x-mark) are plotted as a reference