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Table 3 A. araucana simple model selection results. For formulae of models SM1-SM16, see Appendix Table 12. Prediction statistic refers to the cross-validation (CV)-based prediction accuracy

From: Determination of optimal tree height models and calibration designs for Araucaria araucana and Nothofagus pumilio in mixed stands affected to different levels by anthropogenic disturbance in South-Central Chile

Model

Uncertainty of the parameter estimates

Goodness-of-fit statistics

Prediction statistic

PRSE (%)

MAE

RMSE

R2

RMSE (CV)

SM1 AA

5.48

3.31

4.346

0.680

4.353

SM2 AA

5.36

3.377

4.409

0.671

4.415

SM3 AA

5.39

3.382

4.414

0.671

4.420

SM4 AA

8.95

3.34

4.343

0.681

4.352

SM5 AA

13.04

3.512

4.481

0.660

4.492

SM6 AA

12.44

3.374

4.367

0.677

4.375

SM7 AA

5.34

3.373

4.404

0.672

4.410

SM8 AA

57.48

3.313

4.345

0.680

4.359

SM9 AA

14.29

3.296

4.313

0.685

4.324

SM10 AA

18.99

3.283

4.324

0.684

4.335

SM11 AA

38.51

3.273

4.319

0.684

4.331

SM12 AA

9.05

3.282

4.311

0.685

4.322

SM13 AA

30.45

3.322

4.35

0.680

4.362

SM14 AA

32.25

3.333

4.357

0.679

4.370

SM15 AA

36.20

3.312

4.34

0.681

4.352

SM16 AA

51.84

3.298

4.336

0.682

4.347

  1. Bold, selected model. Italic, models with PRSE > 25%