Table 3.
Parameter | Value | 95% confidence interval | AICcc* |
---|---|---|---|
γ = γ
D
= γ
T
|
|
36.8 |
|
γ |
2.2 10-13 |
(6.6 10-14 – 7.6 10-13) |
|
γ
D
≠ γ
T
|
|
23.4 |
|
γ
D
|
2.4 10-14 4.4 10-10 |
(1.0 10-14 – 6.0 10-14) |
|
γ T | (3.1 10-10 – 6.3 10-10) |
*AICc = Akaike’s Information Criterion corrected for a finite sample size n.
AICc = AIC + 2 k (k + 1)/(n-k-1), in which k is the number of parameters in the model.