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Table 5 Summary of equivalence-based regression results. Sample size is denoted by n, and the approximate joint two one-sided 95% confidence intervals for the intercept β0 and the slope β1 are (\( {C}_{\beta}^{-},{C}_{\beta}^{+}\Big) \), the intercept interval of equivalence (\( {I}_{\beta}^{-},{I}_{\beta}^{+} \)) for intercept and slope are, respectively, \( \overline{y}\pm \)25% and 1±0.25. F (8, 9,10) means frequency in specific size class, which were predicted using diameter distribution model (Eqs. 8, 9, and 10)

From: Predicting individual tree growth using stand-level simulation, diameter distribution, and Bayesian calibration

 

Variable (Equation)

n

Confidence interval

Indifference region

Reject dissimilarity?

Min. rejection interval

\( {C}_{\beta}^{-} \)

\( {C}_{\beta}^{+} \)

\( {I}_{\beta}^{-} \)

\( {I}_{\beta}^{+} \)

β0

\( {\overline{h}}_{gc} \) (1)

59

12.61

14.47

9.73

16.21

Yes

11.57%

G (5)

59

21.61

23.97

17.13

28.54

Yes

5.36%

\( {\overline{d}}_g \) (6)

59

19.85

21.73

14.68

24.46

Yes

11.04%

F(8,9,10)

53

2.25

2.96

2.11

3.51

Yes

19.93%

id(13)

169

1.64

1.81

1.05

1.75

No

29.29%

h (15)

130

15.71

16.93

13.76

22.94

Yes

15.32%

β1

\( {\overline{h}}_{gc} \) (1)

59

0.92

1.22

0.75

1.25

Yes

20.07%

G (5)

59

0.82

1.10

0.75

1.25

Yes

19.24%

\( {\overline{d}}_g \) (6)

59

0.96

1.28

0.75

1.25

No

29.89%

F(8,9,10)

53

0.20

0.67

0.75

1.25

No

80.25%

id(13)

169

0.52

0.65

0.75

1.25

No

46.54%

h (15)

130

0.76

0.97

0.75

1.25

Yes

22.56%