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The results of the process include (figure 3):a report with parameters values selected by the user and estimated by the application and two figures, one plotting the PDF of the distribution as a function of magnitude and another one plotting the CDF of the distribution as a function of magnitude (figures 3 and 4):
The SSH parameters calculated and shown are depended on the Magnitude distribution estimation method selected. They are summarized on Table 1.
Gutenberg Richter (GR) | Non-Parametric | ||
Unbounded | Upper-Bounded | Unbounded | Upper-Bounded |
Magnitude Round-off Interval | |||
Mean Activity Rate above Completeness Magnitude | |||
Mean Activity Rate for all Events | |||
b-value | Kernel Smoothing Factor | ||
| Mmax | Synthetic Sample for Non-Parametric Estimators (plotting option) | |
|
| Weighing Factors for Adaptive Kernel (plotting option) | |
|
|
| Mmax |
Table 1.
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