Bias, variance and computational properties of Kijko’s estimators of the upper limit of magnitude distribution, Mmax

• Autorzy: Lasocki S. , Urban P.
• Języki publikacji: EN

Abstrakty

EN

It is often assumed in probabilistic seismic hazard analysis that the magnitude distribution has an upper limit Mmax , which indicates a limitation on event size in specific seismogeneic conditions. Accurate estimation of Mmax from an earthquake catalog is a matter of utmost importance. We compare bias, dispersion and computational properties of four popular Mmax estimators, introduced by Kijko and others (e.g., Kijko and Sellevoll 1989, Kijko and Graham 1998, Kijko 2004) and we recommend the ones which can be the most fruitful in practical applications. We provide nomograms for evaluation of bias and standard deviation of the recommended estimators for combinations of sample sizes and distribution parameters. We suggest to use the bias nomograms to correct the Mmax estimates. The nomograms of standard deviation can be used to determine minimum sample size for a required accuracy of Mmax.

Słowa kluczowe

EN

Mmax estimation; Mmax bias; Mmax variance; magnitude distribution; seismic hazard

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2011
• Tom: Vol. 59, no. 4
• Strony: 657--658
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Lasocki S.

autor

Urban P.

• Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,

Bibliografia

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