Table 1. The AIC c values for the fit of seven distributions to the phenotypic potential data from Saccharomyces cerevisiae.
Distribution | log(L) | d | AIC c | Δi | w i |
DPLN | −713.77 | 4 | 1435.55 | 0.0 | 1 |
RPLN | −862.73 | 3 | 1731.47 | 295.92 | 5.5×10−65 |
LPLN | −888.88 | 3 | 1783.76 | 348.21 | 2.4×10−76 |
Lognormal | −902.96 | 2 | 1809.93 | 374.39 | 5.0×10−82 |
Normal | −2525.41 | 2 | 5054.82 | 3619.27 | 0 |
Exponential | −2912.06 | 1 | 5826.13 | 4390.58 | 0 |
Pareto | −7478.32 | 2 | 14960.64 | 13525.09 | 0 |
Log(L) is the log-likelihood function. d is the number of parameters. AIC c is the corrected Akaike Information Criterion (AIC). The rescaled AICc is Δi and the Akaike weights are w i. DPLN is the double Pareto-lognormal distribution. RPLN is the right Pareto-lognormal distribution. LPLN is the left Pareto-lognormal distribution. The sample size n was 4,680. Data is from Table S1 in [29].