Table 3.
Model comparisons using AIC 1
| |
|
Neck BMS |
Body BMS |
Tail BMS |
Total BMS |
||||
|---|---|---|---|---|---|---|---|---|---|
| Model | # Param. | Log L | AIC | Log L | AIC | Log L | AIC | Log L | AIC |
| 1. cage |
10 |
-24.9 |
47.9 |
-35.3 |
68.6 |
-28.0 |
54.0 |
-34.1 |
66.3 |
| 2. cage*sex |
10 |
-45.8 |
89.6 |
-57.3 |
112.6 |
-36.5 |
70.9 |
-69.8 |
137.6 |
| 3. cage + cage*sex |
11 |
-24.5 |
49.0 |
-33.4 |
66.8 |
-16.7 |
33.4 |
-31.1 |
64.0 |
| 4. IGE + cage |
11 |
-1.4 |
2.7 |
0 |
0 |
-3.2 |
6.4 |
-0.1 |
0.2 |
| 5. IGE + cage*sex |
11 |
0 |
0 |
-0.2 |
0.4 |
0 |
0 |
0 |
0 |
| 6. IGE + cage + cage*sex | 12 | 0.06 | 1.9 | 0.2 | 1.5 | -1 | 1.3 | 0.1 | 1.9 |
1Akaike’s information criterion (AIC) and likelihood value AIC were set to zero as reference for the best model; AIC = 2× # parameters – 2 × log-likelihood; thus lower values indicate a better model.