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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >A robust method to estimate the b-value of the magnitude-frequency distribution of earthquakes
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A robust method to estimate the b-value of the magnitude-frequency distribution of earthquakes

机译:一种估计地震震级频率分布b值的稳健方法

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摘要

The methods to estimate the h-value of the magnitude-frequency distribution are analyzed based on a certain period of earthquakes in the central region of China. According to the problems in the traditional methods, least square regression method and maximum likelihood estimation mathod, a robust fitting method to estimate the b-value is proposed. The least square regression method is suggested not to be used in the future for its unstability and great deviation from the linerity to the extrem events. The use of maximum likelihood estimation method needs a high accurate assessment of the magnitude of completeness. Compared with the two traditional methods, the proposed method can not only provide a stable and reliable It-value, but also has a good sensitivity to the occurrence of earthquakes with large magnitudes. The variation of b-value as an earthquake precursor is applied successfully in our study, and the proposed robust fitting method is shown to be more efficient than the maximum likelihood estimation method. (C) 2015 Elsevier Ltd. All rights reserved.
机译:基于中国中部地区一定时期的地震,分析了估计震级频率分布h值的方法。针对传统方法,最小二乘回归法和最大似然估计法存在的问题,提出了一种鲁棒拟合的b值估计方法。建议最小二乘回归法由于其不稳定性以及从持久性到极端事件的较大偏差而在将来不再使用。使用最大似然估计方法需要对完整性的大小进行高度准确的评估。与两种传统方法相比,该方法不仅可以提供稳定可靠的It值,而且对大地震的发生也具有良好的敏感性。 b值的变化作为地震先兆已成功应用到我们的研究中,并且所提出的鲁棒拟合方法显示出比最大似然估计方法更有效。 (C)2015 Elsevier Ltd.保留所有权利。

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