GpStatsNd ND Gaussian Process Statistics
=GpStatsNd(NbClass, Scaling, xValues, fValues)
Parameters
NbClass: Number of classes
Scaling: Scaling of parameters
- 0 = If parameters are homogeneous (no scaling)
- 1 = If parameters are NOT homogeneous (e.g. for black box model)
xValues: Function parameters values
fValues: Function values
Output
GpStatsNd must be entered as an array formula. Select a range of NbClass + 1 lines by 6 columns starting with the GpStatsNd cell. Press F2 to start edit mode and press CTRL+SHIFT+ENTER to insert the function. If the formula is not entered as an array formula, the single result is 1 (Class). The results are arranged as shown below.
| Class | h Upper limit |
h Mid point |
h Average |
Empirical variogram γ(hk) |
Number of points |
|---|---|---|---|---|---|
| 1 | 1.41 | 0.71 | 0.79 | 1.0 | 18 |
| 2 | 2.83 | 2.12 | 1.95 | 5.4 | 33 |
| ... | ... | ... | ... | ... | ... |
| 10 | 14.14 | 13.43 | 13.61 | 202.9 | 3 |
| Global | 14.14 | 7.07 | 5.24 | 44.6 | 171 |
The empirical variogram is calculated for each class k with the formula below where Nk is the number of points of the class k.
Empirical variogram