Estimation of source parameters using a non-Gaussian probability density function in a Bayesian framework

Earth, Planets and Space

Table 2 (a) Estimated parameters for the first ten events in the synthetic data assuming a F-distribution. Rows list (from left to right) event number, estimated moment ratio, estimated corner frequency of the large earthquake (Hz), the estimated corner frequency of the small earthquake (Hz), stress drop estimated for a large earthquake (MPa), and the stress drop estimated for a small earthquake event (MPa). Thin characters indicates the selected event presented in Fig. 2. (b) Estimated parameters for synthetic data assuming a normal distribution

Event num	Mo ratio	fc1	fc2	Stress drop1	Stress drop2
1	35.7	1.2	4.1	0.7	0.8
2	26.8	1.4	4.2	1.3	1.2
3	33.0	1.2	3.8	0.7	0.7
4	32.0	1.4	4.3	1.1	1.1
5	24.2	1.6	4.4	1.7	1.5
6	36.3	1.2	4.0	0.7	0.8
7	28.7	1.4	4.3	1.2	1.1
8	30.4	1.3	4.2	1.0	1.0
9	38.4	1.1	3.7	0.5	0.6
10	29.6	1.4	4.3	1.1	1.1

Rows list (from left to right) event number, estimated moment ratio, estimated corner frequency of the large earthquake (Hz), the estimated corner frequency of the small earthquake (Hz), stress drop estimated for a large earthquake (MPa), and the stress drop estimated for a small earthquake event (MPa). Bold indicates the selected event presented in Fig. 2