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Table 4 Estimation and statistical significance of the parameters of the selected regression models

From: Modeling forest site productivity using climate data and topographic imagery in Pinus elliottii plantations of central Argentina

Model

Estimate

S.E.

P value

AIC

BIC

[Eq. 4] \( {\mathrm{H}}_0=\mathrm{SI}\ast {\left(\frac{1-\exp \left(-\alpha \ast {\mathrm{t}}_0\right)}{1-\exp \left(-\alpha \ast {\mathrm{t}}_{\mathrm{r}}\right)}\right)}^{\beta } \)

α

0.045

0.003

< 0.0001

1454.9

1468.5

β

1.134

0.025

< 0.0001

  

[Eq. 5] \( {\mathrm{H}}_0=\frac{\alpha }{1-\left(1-\raisebox{1ex}{$\alpha $}\!\left/ \!\raisebox{-1ex}{$ IS$}\right.\right)\ast {\left(\raisebox{1ex}{${t}_r$}\!\left/ \!\raisebox{-1ex}{${\mathrm{t}}_0$}\right.\right)}^{\beta }} \)

α

51.289

3.552

< 0.0001

1506.1

1519.7

β

1.065

0.021

< 0.0001

  

[Eq. 6] \( {\mathrm{H}}_0=\alpha \ast {\left(\raisebox{1ex}{$ IS$}\!\left/ \!\raisebox{-1ex}{$\alpha $}\right.\right)}^{{\left(\raisebox{1ex}{${t}_r$}\!\left/ \!\raisebox{-1ex}{${\mathrm{t}}_0$}\right.\right)}^{\beta }} \)

α

600.58

210.74

0.0045

1506.7

1520.4

β

0.205

0.018

< 0.0001

  
  1. S.E. standard error, AIC Akaike information criteria, BIC Bayesian information criterion