Szczegóły publikacji

Opis bibliograficzny

Resampling methods in nonparametric seismic hazard estimation / Beata ORLECKA-SIKORA // Acta Geophysica Polonica / Instytut Geofizyki Polskiej Akademii Nauk, Warszawa ; ISSN 0001-5725. — 2004 — vol. 52 no. 1, s. 15–27. — Bibliogr. s. 27, Abstr.

Autor

Słowa kluczowe

cumulative distribution function magnitudeseismic hazard

Dane bibliometryczne

ID BaDAP19830
Data dodania do BaDAP2005-02-17
Rok publikacji2004
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaActa Geophysica Polonica

Abstract

Proper estimation of the cumulative distribution function (CDF) of magnitude is essential for the probabilistic seismic hazard analysis. Due to a possibility of the multi-component structure of frequency-magnitude relation, the recently proposed nonparametric approach to the seismic source size characterization is often in use. Because of its model-free character, the nonparametric approach cannot, however, provide confidence interval estimates of CDF. As a remedy to this problem we propose a use of resampling, namely the bootstrap and jackknife techniques for constructing the confidence intervals of magnitude CDF on the basis of one-sample data. Studies of Monte Carlo generated magnitude data of given population distributions show that the bias corrected and accelerated method (BCa method) is a satisfactory solution of the considered problem. Even more accurate CDF confidence interval estimates can be obtained by the pro-posed modification of the BCa procedure. The procedure uses the second order bootstrap samples and is named the iterated BCa method.

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