Table 3. Type I errors for the 3 Models in the 4 Tuscan samples.
Simulated Model | |||||
CASENTINO | |||||
MOD 1 | MOD 2 | MOD 3 | Type I error | ||
MOD 1 | 0.98 | 0.00 | 0.02 | 0.02 | |
MOD 2 | 0.01 | 0.99 | 0.00 | 0.01 | |
MOD 3 | 0.02 | 0.00 | 0.98 | 0.02 | |
MURLO | |||||
MOD 1 | MOD 2 | MOD 3 | Type I error | ||
MOD 1 | 0.95 | 0.01 | 0.04 | 0.05 | |
MOD 2 | 0.02 | 0.98 | 0.00 | 0.02 | |
MOD 3 | 0.07 | 0.00 | 0.93 | 0.07 | |
VOLTERRA | |||||
MOD 1 | MOD 2 | MOD 3 | Type I error | ||
MOD 1 | 1.00 | 0.00 | 0.00 | 0.00 | |
MOD 2 | 0.07 | 0.93 | 0.00 | 0.07 | |
MOD 3 | 0.05 | 0.00 | 0.95 | 0.05 | |
FLORENCE | |||||
MOD 1 | MOD 2 | MOD 3 | Type I error | ||
MOD 1 | 0.92 | 0.03 | 0.05 | 0.08 | |
MOD 2 | 0.04 | 0.95 | 0.01 | 0.05 | |
MOD 3 | 0.05 | 0.01 | 0.94 | 0.06 |
For each of the modern populations listed on the Y axis, data were simulated according to three models and attributed by the LR procedure to one of the models on the X-axis. The power of the procedure in recovering the correct model is represented by the rates of correct attribution (along the main diagonal; shaded cells); the last column (Type I error) represents the fraction of cases in which the correct model was not identified.