Table 2. Different fitted models using the Legendre polynomials (Leg).
| Model1 | Order | P2 | AIC | BIC | PAL | LRT |
|---|---|---|---|---|---|---|
| Leg.0.H | 0 | 2 | 11306.5 | 11318.9 | 11302.5 | 377.7* |
| Leg.1.H | 1 | 4 | 11287.6 | 11312.4 | 11279.6 | 400.6* |
| Leg.2.H | 2 | 7 | 11255.3 | 11298.8 | 11256.8 | 438.8* |
| Leg.3.H | 3 | 11 | 11218.1 | 11286.4 | 11229.1 | 484.1* |
| Leg.4.H | 4 | 16 | 11191.4 | 11290.9 | 11217.4 | 520.7* |
| Leg.5.H | 5 | 22 | 11149.6 | 11286.3 | 11197.3 | 574.5* |
| Leg.6.H | 6 | 29 | 11134.4 | 11314.6 | 11243.4 | 603.7* |
| Leg.0.D | 0 | 14 | 11006.7 | 11093.7 | 10978.7 | 507.6* |
| Leg.1.D | 1 | 16 | 10983.4 | 11082.8 | 10951.4 | 534.9* |
| Leg.2.D | 2 | 19 | 10928.4 | 11046.5 | 10930.0 | 595.9* |
| Leg.3.D | 3 | 23 | 10865.1 | 11008.1 | 10885.4 | 667.2* |
| Leg.4.D | 4 | 28 | 10739.6 | 10913.6 | 10778.8 | 802.7* |
| Leg.5.D | 5 | 34 | 10648.1 | 10859.4 | 10729.9 | 906.2* |
| Leg.6.D | 6 | 41 | 10645.4 | 10900.2 | 10880.5 | 922.9* |
1These models can assume homogeneous (H) or diagonal (D) residual variance structure. 2Number of parameters
*Significant with the LRT test.