Table 2. Parameters estimates for the nine growth models (standard errors in parentheses).

	Models
Parameters Estimates	H1	Cubic	H2	Log-logistic	Weibull	H3	Gompertz	Logistic	Exponential
M	5.67 × 106** (0.63 × 106)	n/a	7.08 × 106** (1.50 × 106)	4.49 × 108 (5.49 × 109)	−7.54 × 106 (5.43 × 106)	0.02 × 106 (0.1 × 106)	5.86 × 107 (2.51 × 107)	3.50 × 106** (0.22 × 106)	0.06 × 106** (0.01 × 106)
α	404.25 (325.29)	16.91** (1.85)	448.57 (316.57)	4.47 × 106 (5.32 × 107)	−7.57 × 106 (5.54 × 106)	−6.02 (0.13 × 106)	7.78** (0.25)	121.23** (13.58)	−0.07** (0.38 × 102)
β	8.58 × 10−2** (0.98 × 10−2)	131.49 (149.15)	29.10 × 10−2 (15.58 × 10−2)	2.58** (0.10)	−1.18 × 10−5 (1.50 × 10−5)	−1.9 (2.5)	1.87 × 10−2** (0.21 × 10−2)	0.10**(0.51 × 10−2)	−5.31 × 10−4 (4.42 × 10−4)
γ	1404.25 (8.58 × 10−2)	1198.24 (3419.6)	10.75 ** (0.11)	n/a	2.58** 0.16	0.30 (0.18)	n/a	n/a	n/a
Θ	n/a	26436.9 (21128.2)	n/a	n/a	n/a	-6.76 (0.14 × 106)	n/a	n/a	n/a
AICC	1092.90	1093.96	1094.29	1161.53	1109.76	1113.85	1116.63	1161.53	1222.51
MSE	1.22 × 109	1.25 × 109	1.25 × 109	4.70 × 109	1.69 × 109	1.78 × 109	1.98 × 109	4.70 × 109	1.51 × 1010
R2	0.9982	0.9982	0.9982	0.9932	0.9976	0.9975	0.9971	0.9932	0.9781

Note:

^*p<0.05,

^**p<0.001