TY  - CONF
ID  - epos2064
UR  - https://www.researchgate.net/publication/324106393_Uncertainty_of_b-value_Estimation_in_Connection_with_Magnitude_Distribution_Properties_of_Small_Data_Sets
A1  - Leptokaropoulos, Konstantinos Michail
A1  - Adamaki, Aggeliki K.
Y1  - 2018/03//
N2  - We evaluate the efficiency of the maximum likelihood estimator introduced by Aki (1965), using synthetic datasets exhibiting diverse but well defined properties. The deviation of the b-value estimation from its real value is quantified by Monte Carlo simulations as a function of catalogue features and data properties such as the sample size, the magnitude uncertainties distribution, the round-off interval of reported magnitude values and the magnitude range. Within the objective of this study, algorithms have been compiled for the determination of such observational-theoretical deviations and to facilitate the construction of nomograms corresponding to diverse cases of input parameters. In this way, a more accurate estimation of the uncertainty level for the b-value and MC determination can be achieved, contributing to a more robust seismic hazard assessment, especially at low activity areas and induced seismicity sites. Our results indicate that b-value analysis, especially for small datasets should be carried out together with Magnitude range analysis. Nomograms should be constructed and adjusted to each particular case study in order to achieve a more accurate estimation of the b-value and the corresponding uncertainty.
TI  - Uncertainty of b-value Estimation in Connection with Magnitude Distribution Properties of Small Data Sets
M2  - Kraków, Poland
AV  - public
T2  - 7 th EAGE Workshop on Passive Seismic,
ER  -