Table 7.

Tests of nonlinear model fits to saccades and microsaccades. For all ΔAIC the inverse-linear logistic model is the base as it yields the smallest AIC criterion. Vuong’s tests (last column) compare all other models to the inverse-linear logistic fit. Data from Experiment 3 (free viewing @ 500 Hz).

Model	Residual SE	model df	AIC	ΔAIC	Vuong’s tests
inverse-linear logistic	SEe = 32.69	148565	1457793.0	0.0	—
power-law	SEe = 34.05	148567	1469847.0	12054.0	z = 10.808, p < 0.001
exponential	SEe = 39.10	148567	1511004.5	53211.5	z = 82.466, p < 0.001
inverse-linear	SEe = 45.48	148567	1555887.6	98094.6	z = 108.325, p < 0.001