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)

Journal of Wood Science

Official Journal of the Japan Wood Research Society

Table 5 REML covariance and correlation estimates for unstructured covariance structure for WSG repeated measures data

RRD 1	RRD 2	RRD 3	RRD 4	RRD 5	RRD 6	RRD 7	RRD 8	RRD 9	RRD 10
1. Simple (variance components)
5.913	0	0	0	0	0	0	0	0	0
1.000	0	0	0	0	0	0	0	0	0
2. Compound symmetric
4.913	2.526	2.526	2.526	2.526	2.526	2.526	2.526	2.526	2.526
1.000	0.514	0.514	0.514	0.514	0.514	0.514	0.514	0.514	0.514
3. Autoregressive (1)
4.843	4.239	3.711	3.249	2.844	2.49	2.18	1.909	1.671	1.463
1.000	0.876	0.766	0.671	0.580	0.510	0.450	0.394	0.345	0.302
4. Autoregressive (1) with random tree effect
4.124	3.520	3.004	2.564	2.188	1.867	1.594	1.360	1.116	0.099
1.000	0.853	0.728	0.622	0.530	0.453	0.386	0.330	0.281	0.240
5.Toeplitz (banded)
4.965	4.357	3.476	2.737	2.078	1.392	0.647	0.078	− 0.420	− 0.610
1.000	0.878	0.699	0.551	0.419	0.280	0.130	0.016	− 0.085	− 0.012
6. Antedependence (1)
3.485	2.557	3.356	4.907	5.405	6.198	6.088	5.828	5.325	5.985
1.000	0.693	0.715	0.884	0.924	0.886	0.927	0.925	0.944	0.861

Variances (\(\times\) 10^–3) and covariance in the top line; correlations in bottom line