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Estimating Methods, Variability, and Sampling for Drop-Test Data

Appendix (Continued)

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Grid Spacing (Continued)

Table 12—First 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 1.553 1.534
Standard deviation 0.962 0.736
Minimum 0.051 0.053
1st quartile 0.947 1.044
Median 1.400 1.481
3rd quartile 1.978 2.069
Maximum 8.183 3.676
Correlation   0.803
n 396 490
Summary statistics for error distribution
  Triangulation
(gpc)
Mean 0.01857
Standard deviation 0.574
Minimum -1.337
1st quartile -0.217
Median -0.020
3rd quartile 0.147
Maximum 5.265
MAE 0.334
MSE 0.329
n 396


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.


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