模型

公式

拟合参数

判定系数R2

a

b

c

r

Logistic

y 1 ( t ) = a /( 1 + b e c t )

11.55

19.81

8.16 × 10−2

0.9688

Gompertz

y 2 ( t ) = a e b e c t

11.86

3.80

5.24 × 10−2

0.9668

Richards

y 3 ( t ) = a / [ 1 + e ( b c t ) 1 / r ]

26.19

4.32 × 10−2

−1.54 × 10−2

−0.45

0.9693

Weibull

y 4 ( t ) = a b e c t r

31.19 × 10−2

−13.91

64.43

−1.25

0.9688

MMF

y 5 ( t ) = ( b c + a t r ) / ( c + t r )

12.90

6.86×10-2

1427.10

2.28

0.9754