用一个简单的随机变量变换估计地震表的完备程度

M. Taroni
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引用次数: 1

摘要

地震目录完备程度的估计是大多数地震统计分析的起点。这对于古腾堡-里希特(GR)定律参数的估计尤其重要。这个定律对应于大小的指数分布。最近的研究表明,估计数据完备性的正确方法是检验数据的指数性。在此,我们尝试使用一个简单的随机变量变换来改进该方法,使得该方法对于星等来自不同参数指数分布的星表,即具有不同GR律b值的星表,具有更强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the Magnitude of Completeness of Earthquake Catalogs Using a Simple Random Variable Transformation
The estimation of the magnitude of completeness for a seismic catalog is the starting point for most of the seismological statistical analyses. It is important, in particular, for the estimation of the Gutenberg–Richter (GR) law parameters. This law corresponds to an exponential distribution of the magnitudes. The recent studies have shown that the proper method to estimate the completeness is to check the exponentiality of the data. Here, we try to improve this method using a simple random variable transformation, which makes the method more robust in the case of catalogs with magnitudes coming from exponential distributions with different parameters, that is, catalogs with different b-values of the GR law.
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