Skip to main content

Table 3 Parameter estimates and accuracy of fitting models (1–3) describing dependencies of distribution series statistics

From: Evaluating diameter distribution series of small-leaved lime (Tilia cordata Mill.) in forest stands

Indicator*

b0

b1

b2

b3

b4

F

R2

Se

Sm

Thin density (n = 52)

 dmin

0.27088

1.11063

87

64

0.321

0.244

 dmax

3.42064

0.78163

220

81

0.142

0.113

 X

0.83024

1.04935

17,865

99

0.021

0.016

 S

0.66974

− 0.28426

0.07697

0.21574

86

84

0.569

0.373

 As

0.12061

− 0.19619

0.13502

0.05859

0.18010

14

59

0.198

0.142

 Ex

− 0.74550

− 0.23978

0.12409

0.17177

− 0.29138

26

73

0.279

0.203

Medium density (n = 10)

 dmin

0.08156

1.59305

13

61

0.223

0.166

 dmax

1.43776

1.09182

37

82

0.092

0.073

 X

0.87370

1.03663

1760

99

0.012

0.010

 S

0.96089

− 0.00135

0.13595

− 0.03836

7

79

0.386

0.242

 As

0.81713

− 0.14320

0.14306

0.09346

− 0.41614

9

87

0.134

0.083

 Ex

− 0.38934

− 0.02754

0.07582

0.16829

− 1.02149

24

95

0.134

0.079

Thick and very thick (n = 7)

 dmin

0.04068

1.88426

123

96

0.119

0.083

 dmax

3.22645

0.77014

19

79

0.123

0.100

 X

0.89798

1.02827

9146

99

0.007

0.005

 S

0.67516

− 0.17861

0.03643

0.21802

5

82

0.361

0.203

 As

0.79212

− 0.04337

0.04025

0.03288

− 0.26396

1

66

0.134

0.061

 Ex

− 0.11756

0.11425

− 0.21710

0.08867

− 0.69883

3

85

0.173

0.084

  1. Where F is the significance of the equation; R2 is the coefficient of determination, %; Se is the standard equation error; Sm is the average absolute error of the equation; the italic values of F-criteria is not relevant (p > 0.05)