Table 4. Model statistics from fitting... | Rockefeller University Press

Table 4.

Model statistics from fitting simulated data in Fig. 4

Model	n	Linked	q	SSR	$χ_{υ}^{2}$	BIC	ΔBIC
1	1	r₀ and σ_r	11	0.13044	1.7759	-6776.0	422.3
2	1	Nothing	15	0.08557	1.1268	-7106.9	91.4
3	2	r₀ and σ_r	16	0.07588	0.9945	-7198.3	0.0
4	2	Nothing	24	0.07503	0.9945	-7153.3	45.1
5	3	r₀ and σ_r	21	0.07532	0.9944	-7170.2	28.1
6	3	Nothing	33	0.07377	0.9878	-7108.0	90.3

Model	n	Linked	q	SSR	$χ_{υ}^{2}$	BIC	ΔBIC
1	1	r₀ and σ_r	11	0.13044	1.7759	-6776.0	422.3
2	1	Nothing	15	0.08557	1.1268	-7106.9	91.4
3	2	r₀ and σ_r	16	0.07588	0.9945	-7198.3	0.0
4	2	Nothing	24	0.07503	0.9945	-7153.3	45.1
5	3	r₀ and σ_r	21	0.07532	0.9944	-7170.2	28.1
6	3	Nothing	33	0.07377	0.9878	-7108.0	90.3

The models differ in the number of Gaussian components, n, used to define the distance distributions and in how their parameters are linked for the different datasets. In all models, the modulation depths, Δ, and the background parameters, η, for the different datasets are not linked. A video (Video 3) demonstrating the use of GLADDvu to perform the fits of these simulated data is available.

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