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Table 2 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

[3] SI = α + β STPIS + γ LPλ + ξE

α

16.47

1.84

< 0.0001

149.5

160.3

β

− 4.73

1.26

0.0006

  

γ

− 3.99

0.57

< 0.0001

  

λ

1.72

0.64

0.0095

  

ξ

2.36

1.12

0.0411

  

[11] \( \mathrm{SI}=\alpha +\beta \ast {\mathrm{STPI}}^S+\gamma \ast {\mathrm{LP}}^{\uplambda}+\xi \ast {P}_5^{\uprho} \)

α

15.88

1.06

< 0.0001

126.4

139.0

β

− 3.41

0.99

0.0014

  

γ

− 2.90

0.51

< 0.0001

  

λ

2.65

1.03

0.0139

  

ξ

1.15

0.41

0.0078

  

ρ

14.80

5.04

0.0056

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