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Table 7 Mean prediction bias, root mean squared error (RMSE) in estimating inside bark cubic volume using different models. Statistics were obtained by using leave-one-out cross validation method i.e. bias and RMSE for dataset I were obtained by applying the models fitted using datasets II and III

From: Estimating upper stem diameters and volume of Douglas-fir and Western hemlock trees in the Pacific northwest

Model

Dataset

Douglas-fir

Western hemlock

Bias (cm)

Bias percent

RMSE (cm)

RMSE percent

Bias (cm)

Bias percent

RMSE (cm)

RMSE percent

M1

I

0.22

12.56

0.35

20.36

−0.06

−4.29

0.58

42.51

II

0.02

11.03

0.04

20.51

    

III

−0.16

−6.09

0.85

31.55

0.34

15.98

0.45

21.19

M2

I

0.13

7.21

0.31

17.77

−0.16

−11.63

0.35

25.99

II

−0.01

−5.01

0.03

16.27

    

III

−0.06

−2.07

0.36

13.52

0.23

10.80

0.42

19.67

M3

I

−0.04

−2.31

0.29

16.79

−0.17

−12.26

0.43

31.66

II

−0.02

−9.20

0.04

18.82

    

III

−0.15

−5.51

0.43

15.96

0.23

10.70

0.42

19.75

M4

I

0.05

2.75

0.24

13.95

−0.18

−13.16

0.46

33.65

II

−0.01

−4.28

0.03

14.64

    

III

−0.13

−4.89

0.47

17.52

0.22

10.40

0.40

18.83

M5

I

0.07

4.24

0.29

16.45

−0.13

−9.41

0.61

45.14

II

0.00

−2.07

0.03

15.94

    

III

−0.44

−16.13

1.18

43.91

0.16

7.41

0.28

13.33