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Official Journal of the Japan Wood Research Society

Table 7 Akaike’s information criterion (AIC) and Schwarz’s Bayesian information criterion (BIC) for seven covariance structures

From: An application of mixed-effects model to evaluate the role of age and size on radial variation in wood specific gravity in teak (Tectona grandis)

Structure name

AIC

BIC

Number of parameters

1. Simple

− 782.7

− 781.1

1

2. Compound symmetric

− 942.8

− 939.6

2

3. Autoregressive (1)

− 1230.6

− 1227.4

2

4. Autoregressive (1) with random effect for trees

− 1235.1

− 1237.8

3

5. Toeplitz (banded)

− 1252.0

− 1236.2

10

6. Antedependence (1)

− 1229.8

− 1199.7

19

7. Unstructured

− 1265.6

− 1178.5

55

  1. The AIC criterion (bold) gives the best fit for the unstructured model, while the BIC criterion (bold) gives the best fit for the autoregressive (1) with random effect for trees