Augsburg | Meitingen |
---|
Scenarioa
| F statisticb
| Scenarioa
| F statisticb
|
---|
BW1 | 871 | BW1 | 1460 |
BW2 | 1095 | BW2 | 3014 |
BW3 (BC) | 1135 | BW3 (BC) | 4531 |
BW4 | 848 | BW4 | 4779 |
BW5 | 657 | BW5 | 4079 |
EC1 (BC) | 1135 | EC1 (BC) | 4531 |
EC2 | 956 | EC2 | 8372 |
EC3 | 724 | EC3 | 9158 |
EC4 | 854 | EC4 | 7047 |
EC5 | 1156 | EC5 | 7912 |
GP1 (BC) | 1135 | GP1 (BC) | 4531 |
GP2 | 1495 | GP2 | 4293 |
GP3 | 1398 | GP3 | 4530 |
INT1 (BC) | 1135 | INT1 (BC) | 4531 |
INT2 | 1274 | INT2 | 4628 |
INT3 | 1121 | INT3 | 4306 |
INT4 | 875 | INT4 | 6 |
WT1 (BC) | 1135 | WT1 (BC) | 4531 |
WT2 | 1180 | WT2 | 4335 |
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BC Base case, BW Bandwidth, EC Edge correction, GP Grid points, INT Interpolation, WT Weighting
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a bandwidth, edge correction, and number of grid points presented in ascending order, i.e., with the first scenario describing the least amount of bandwidth, edge correction, and number of grid points respectively
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b The F statistic refers to the ANOVA F statistic between the groups of estimated data points at the 50 evaluation points for a given area (1000 data points at each evaluation point), calculated as follows: F = between-group variability/within-group variability; higher values of the F statistic reflect more preferable parameter values for a given scenario. The groups are generated based on the POI bootstrap replications