Table A2.

For all models and subjects, the probability p that the negative cross-entropy is equal to or higher than the negative entropy. Green shading indicates p > 0.05. Models whose names are written in green are the eight best models; models whose names are written in read are simple heuristic models and two-step models. For the eight best models, most subjects have p>0.05, indicating these models are good in an “absolute” sense.

	MBC	MG	RC	WYZ	XLM	YC	YL	YMH	YZ
Opt	0.97	0.2	0.14	0.17	0.05	0.92	0.071	0.099	0.015
Sum	<10−16	<10−3	<10−11	<10−16	0.0045	<10−16	<10−16	<10−16	<10−3
Max	<10−9	0.034	<10−5	<10−16	0.069	<10−16	<10−16	<10−16	0.01
Min	<10−16	<10−16	<10−16	<10−16	<10−16	<10−16	<10−16	<10−16	<10−16
Var	0.89	<10−7	0.22	0.043	<10−16	0.98	<10−4	0.15	<10−16
Sign	<10−3	0.062	0.0011	<10−5	0.15	<10−6	<10−5	<10−16	0.005
MaxT2	<10−16	<10−4	<10−13	<10−16	<10−3	<10−16	<10−16	<10−16	<10−6
MaxT12	<10−16	<10−6	<10−16	<10−16	<10−4	<10−16	<10−16	<10−16	<10−8
MaxT13	0.73	<10−14	0.023	0.0053	<10−16	0.96	<10−9	0.12	<10−16
MaxT23	0.94	0.073	0.28	0.12	<10−4	0.97	<10−3	0.15	<10−7
MaxT123	0.82	<10−10	0.067	0.015	<10−16	0.98	<10−7	0.12	<10−16
SumErf	<10−16	<10−4	<10−11	<10−16	<10−3	<10−16	<10−16	<10−16	<10−5
SumErfTl	<10−16	<10−4	<10−16	<10−16	0.0075	<10−16	<10−16	<10−16	<10−7
SumErfT2	<10−16	<10−4	<10−12	<10−16	<10−3	<10−16	<10−16	<10−16	<10−5
SumErfT3	0.96	0.47	0.16	0.33	0.068	0.93	0.13	0.15	0.024
SumErfT12	<10−16	<10−10	<10−14	<10−16	<10−4	<10−16	<10−16	<10−16	<10−7
SumErfT13	0.96	0.096	0.18	0.29	<10−7	0.96	0.027	0.19	<10−5
SumErfT23	0.95	0.5	0.15	0.33	0.37	0.91	0.13	0.15	0.16
SumXT1	<10−16	<10−4	<10−16	<10−16	<10−3	<10−16	<10−16	<10−16	<10−6
SumXT2	<10−16	<10−3	<10−12	<10−16	0.0016	<10−16	<10−16	<10−16	<10−4
SumXT3	0.95	0.52	0.15	0.32	0.18	0.89	0.15	0.13	0.072
SumXT12	<10−16	<10−5	<10−14	<10−16	<10−4	<10−16	<10−16	<10−16	<10−7
SumXT13	0.96	0.25	0.17	0.33	0.0022	0.92	0.073	0.15	0.0016
SumXT23	0.93	0.46	0.12	0.3	0.41	0.86	0.1	0.12	<10−3
SumXT123	0.95	0.5	0.15	0.33	0.19	0.9	0.15	0.13	0.065