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. 2016 Oct 6;77(5):881–895. doi: 10.1177/0013164416668234

Table 1.

Fitted Values of Six Distributions When Fitted to Four Conditional Responses.

Distribution
Conditional response Normal Ex-Gaussian Weibull Log-normal Gamma Gumbel
Y | context = abstract, law = negative conjunction 2606.391 [2612.217] 2577.956 [2586.694] 2579.473 [2585.298] 2575.598 [2581.423] 2573.227 [2579.052] 2660.631 [2666.456]
Y | context = abstract, law = negative disjunction 2559.077 [2564.902] 2529.083 [2537.821] 2540.034 [2545.859] 2525.525 [2531.350] 2527.435 [2533.260] 2622.958 [2628.784]
Y | context = with cues, law = negative conjunction 2650.538 [2656.363] 2648.110 [2656.848] 2646.153 [2651.978] 2671.207 [2677.033] 2651.600 [2657.425] 2692.538 [2698.363]
Y | context = with cues, law = negative disjunction 2680.437 [2686.262] 2670.777 [2679.515] 2672.717 [2678.543] 2678.367 [2684.193] 2668.807 [2674.633] 2723.768 [2729.593]
Median AIC [Median BIC] 2628.464 [2634.29] 2613.033 [2621.771] 2612.813 [2618.638] 2623.402 [2629.228] 2612.413 [2618.239] 2676.584 [2682.41]

Note. AIC = Akaike information criterion; BIC = Schwarz Bayesian information criterion; the lower these values, the better the fitting. “Y” corresponds to the dependent variable (“fixation times” in this case). The lowest AIC values for each conditional response are shaded. The average AIC values given by the distributions across conditional responses are shown in the last row and the lowest AIC values appear in bold.