CSEP Minutes 02-12-2019: Difference between revisions
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* Optionally switch to magnitude-independent formulation (Chi-Square or M-test based on event counts in magnitude bins). Might incorporate correlations based on GR statistics. | * Optionally switch to magnitude-independent formulation (Chi-Square or M-test based on event counts in magnitude bins). Might incorporate correlations based on GR statistics. | ||
* Developed figure showing the Mw relationships for stochastic event sets. This should likely be shown as a survival function instead. | * Developed figure showing the Mw relationships for stochastic event sets. This should likely be shown as a survival function instead. | ||
* Poissonian error bars on MFD plots, would be larger for the larger events. | |||
** If bins were independent we could get joint probability by multiplying probabilities, but in practice we have correlated errors. | |||
** Roger Mussen talks about b-values and deals with these same issues, variations in MFD due to measured magnitudes. Looking at error distribution can define correlation function between magnitudes. | |||
* In the synthetic test for true null hypothesis, empirical distribution should be the same as analytical. | |||
* Comment about plots, should use the GR plots using the complimentary distribution. Probably should include errors in the catalog. | |||
* Think about tests and show them in a presentable way to outsiders. | |||
* Make poster for IUGG. Look up deadline, possible Feb. 18. | |||
Latest revision as of 22:51, 12 February 2019
Participants: D. Jackson, W. Savran, J. Gilchrest, D. Rhoades, N. Field, and P. Maechling
- Present updated M-test based on Kilmogorov-Smirnov and Anderson-Darling statistics.
- Potential issue with distribution-based evaluations for catalogs containing few events.
- Optionally switch to magnitude-independent formulation (Chi-Square or M-test based on event counts in magnitude bins). Might incorporate correlations based on GR statistics.
- Developed figure showing the Mw relationships for stochastic event sets. This should likely be shown as a survival function instead.
- Poissonian error bars on MFD plots, would be larger for the larger events.
- If bins were independent we could get joint probability by multiplying probabilities, but in practice we have correlated errors.
- Roger Mussen talks about b-values and deals with these same issues, variations in MFD due to measured magnitudes. Looking at error distribution can define correlation function between magnitudes.
- In the synthetic test for true null hypothesis, empirical distribution should be the same as analytical.
- Comment about plots, should use the GR plots using the complimentary distribution. Probably should include errors in the catalog.
- Think about tests and show them in a presentable way to outsiders.
- Make poster for IUGG. Look up deadline, possible Feb. 18.
