Description Usage Arguments Details Value References See Also
Kolmogorov-Smirnov Goodness of Fit Test (K-S test) to quantify the level of performance of the model
model_rate.val() and to potentially make a residual analysis (e.g., Ogata, 1988). The test is made
assuming a uniform distribution (i.e. distribution of a stationary Poisson process of intensity 1) for the
time transformed in t.transform() for the induced seismicity model.
1 | stat.KS_uniform(t.transf)
|
t.transf |
a vector of transformed times |
See examples of induced seismicity applications in Mignan et al. (2017, 2019) and Broccardo et al. (2017).
the results of the K-S test as a data frame:
t the sequence of N events, from 1 to N
lim95up the upper 95% K-S confidence limit
lim95down the lower 95% K-S confidence limit
lim99up the upper 99% K-S confidence limit
lim99down the lower 99% K-S confidence limit
boolean95 logical vector, true if events are with the 95% K-S confidence interval
boolean99 logical vector, true if events are with the 99% K-S confidence interval
Broccardo M., Mignan A., Wiemer S., Stojadinovic B., Giardini D. (2017), Hierarchical Bayesian Modeling of FluidāInduced Seismicity. Geophysical Research Letters, 44 (22), 11,357-11,367, doi: 10.1002/2017GL075251
Mignan A., Broccardo M., Wiemer S., Giardini D. (2017), Induced seismicity closed-form traffic light system for actuarial decision-making during deep fluid injections. Sci. Rep., 7, 13607, doi: 10.1038/s41598-017-13585-9
Mignan A., Broccardo M., Wiemer S., Giardini D. (2019), Autonomous Decision-Making Against Induced Seismicity in Deep Fluid Injections. In: Ferrari A., Laloui L. (eds), Energy Geotechnics, SEG 2018, Springer Series in Geomechanics and Geoengineering, 369-376, doi: 10.1007/978-3-319-99670-7_46
Ogata Y. (1988), Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes. J. Am. Stat. Assoc., 83 (401), 9-27
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