Table 5. Statistics of fitting Pgp data... | Rockefeller University Press

Table 5.

Statistics of fitting Pgp data (Fig. 6)

Model	n	Linked	q	SSR	$χ_{ν}^{2}$	BIC_WLS	ΔBIC_WLS
1	3	Gaussians	56	2.5980E-02	1.2183	−36,842.8	62.2
2	4	Gaussians	68	2.4681E-02	1.1593	−36,905.0	0.0
3	4	Gaussians and ratio of two longest	59	2.5623E-02	1.1921	−36,885.7	19.3

Model	n	Linked	q	SSR	$χ_{ν}^{2}$	BIC_WLS	ΔBIC_WLS
1	3	Gaussians	56	2.5980E-02	1.2183	−36,842.8	62.2
2	4	Gaussians	68	2.4681E-02	1.1593	−36,905.0	0.0
3	4	Gaussians and ratio of two longest	59	2.5623E-02	1.1921	−36,885.7	19.3

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 4) demonstrating the use of GLADDvu to perform the fits of these Pgp data is available.

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