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The non-linear quantile regression growth model (diameter increment = a × DBHb, where a and b are modelled coefficients) for tawa for average diameter growth is: Diameter increment mm yr − 1 = 1.36 ± 0.20 × DBH 0.08 ± 0.04 and for rapid diameter growth; Diameter increment mm yr − 1 = 2.24 ± 0.32 × DBH 0.06 ± 0.04.
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Each secular variation model consists of six statistically significant coefficients for each magnetic field component modelled.
The temporal development of the Gini coefficients for volume and volume increment at each site was modelled using stand density (DENS), mean tree volume (SIZE), the average competition index (COMP), and stand-level annual volume increment in the current year (AVI) and one year previously (AVI1) as predictor variables.
Table 5 gives sound-absorption coefficients for several gases.
Table 1: Correlation coefficients for mono- and dinucleotide compositions.
This yielded 132,787,956 coefficients for each cohort.
Figure 7. Gini coefficients for Uganda.
Inhibition of Nodal by Cerberus from the hypoblast (Bertocchini and Stern, 2002) is modelled by decreasing the coefficient for the neighbour effects when the hypoblast is present, the decrease in the local neighbour effect being greater than that of the near-neighbour effect.
This adapted model shows a good agreement between modelled values and actual measurements (correlation coefficient for daily means > 0.80).
The Nash Sutcliffe efficiency coefficient for the ANN modelled cooling, heating, electric lighting and total building electricity use was 0.994, 0.940, 0.993, and 0.996, respectively, indicating excellent predictive power.
To measure the rate of change in monthly prevalence (b-coefficient) for each OI, we used mixed effects linear regression and modelled between monthly variability as a random effect.
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