Estimating Methods, Variability, and
Sampling for
Drop-Test Data
Appendix—Details on Cups, Error Variance, and Grid Spacing Continued
Table 13–Second comparison of observed gpc (gallons per 100 square feet) values from a 10-
by 10-foot spacing with predicted values from a 30- by 10-foot spacing. MAE is mean absolute
error and MSE is mean squared error.
| |
TRUE |
Triangulation (gpc) |
| Mean |
1.520 |
1.534 |
| Standard deviation |
0.904 |
0.787 |
| Minimum |
0.037 |
0.081 |
| 1st quartile |
0.914 |
0.980 |
| Median |
1.374 |
1.468 |
| 3rd quartile |
2.046 |
2.018 |
| Maximum |
8.183 |
3.956 |
| Correlation |
|
0.867 |
| n |
418 |
418 |
|
| Summary statistics for error distribution |
| |
Triangulation (gpc) |
| Mean |
-0.01385 |
| Standard deviation |
0.450 |
| Minimum |
-1.426 |
| 1st quartile |
-0.218 |
| Median |
-0.017 |
| 3rd quartile |
0.137 |
| Maximum |
4.259 |
| MAE |
0.279 |
| MSE |
0.202 |
| n |
418 |
|
Table 14–Third comparison of observed gpc (gallons per 100 square feet) values from a 10- by
10-foot spacing with predicted values from a 30- by 10-foot spacing. MAE is mean absolute
error and MSE is mean squared error.
| |
TRUE |
Triangulation (gpc) |
| Mean |
1.531 |
1.538 |
| Standard deviation |
0.881 |
0.846 |
| Minimum |
0.037 |
0.102 |
| 1st quartile |
0.916 |
0.998 |
| Median |
1.400 |
1.387 |
| 3rd quartile |
2.027 |
2.060 |
| Maximum |
5.081 |
6.132 |
| Correlation |
|
0.846 |
| n |
396 |
396 |
|
| Summary statistics for error distribution |
| |
Triangulation (gpc) |
| Mean |
-0.00609 |
| Standard deviation |
0.480 |
| Minimum |
-3.092 |
| 1st quartile |
-0.191 |
| Median |
-0.028 |
| 3rd quartile |
0.171 |
| Maximum |
2.545 |
| MAE |
1.531 |
| MSE |
0.230 |
| n |
396 |
|

Figure 24—Quantile-quantile (QQ) plots comparing distributions.

Figure 25—Quantile-quantile (QQ) plots comparing distributions.