stat.KS_uniform: Kolmogorov-Smirnov Goodness of Fit Test (uniform)

Description Usage Arguments Details Value References See Also

View source: R/forecast.R

Description

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.

Usage

1
stat.KS_uniform(t.transf)

Arguments

t.transf

a vector of transformed times

Details

See examples of induced seismicity applications in Mignan et al. (2017, 2019) and Broccardo et al. (2017).

Value

the results of the K-S test as a data frame:

References

Broccardo M., Mignan A., Wiemer S., Stojadinovic B., Giardini D. (2017), Hierarchical Bayesian Modeling of Fluid‐Induced 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

See Also

t.transform, model_rate.val


amignan/rseismTLS documentation built on July 4, 2020, 1:04 p.m.