Table 4. Summary of posterior distribution for parameters in the Bayesian model (see Figure 1) in France and Victoria & South Australia.
Region | Parameter | Posterior mean | Posterior S.D. | 95% Credibility Interval# |
France | Hyper-pop mean | 1.26 | 0.105 | (1.05, 1.47) |
Hyper-pop variance | 0.0868 | 0.0835 | (0.0211, 0.270) | |
SSD variance | 0.0517 | 0.00859 | (0.0377, 0.0714) | |
Vic & SA | Hyper-pop mean | 1.41 | 0.114 | (1.18, 1.65) |
Hyper-pop variance | 0.0893 | 0.096 | (0.0201, 0.336) | |
SSD variance | 0.0230 | 0.00341 | (0.0173, 0.0305) |
Values are given to three significant figures in log10 mS/cm.
Bayesian analysis produced credibility internal instead of confidence interval estimated by frequents analysis.