Table 1.

Summary of the fits of the CM and the DYKM to data

Model	CM		DYKM		δAIC		ExpδAIC/2
Exp.	LAT	LAT+TS	LAT	LAT+TS	LAT	LAT+TS	LAT	LAT+TS
LAT	18213	18295	18632	21867	820	7126	10178	101547
TS	33327	32570	69784	44610	72896	24062	1015029	105225
Total	51540	50865	88416	66478	73734	31206	1016011	106776

The first column denotes the experiment class (LAT, latency; TS, time series). The columns LAT and LAT+TS, respectively, indicate that the latency data only and latency plus time-series data were used in the fit. The values in the CM and DYKM columns contain -log(likelihood(data)) scores of the CM and the DYKM, respectively, for the data given in that row. The column δAIC contains the difference in the AIC scores for the two models, with positive values indicating that the CM had the lowest (best) AIC score. The last column gives exp^δAIC/2 where values >1 indicate that the CM is more probable than the DYKM for that data. The row Total contains the total -log(likelihood(data)) (for columns CM and DYKM), δAIC, and exp^δAIC/2 scores for the latency and time-series data.