论文标题
一种用于控制误报概率和基于智能手机的地震预警系统中误报概率和未检测的统计方法
A statistical approach for controlling the probability of false alarm and missed detection in smartphone-based earthquake early warning systems
论文作者
论文摘要
基于智能手机的地震预警系统（EEWS）正在作为基于昂贵的科学级仪器的经典EEWS的补充解决方案。但是，基于智能手机的系统的特征是高度动态的网络几何形状和嘈杂的测量。因此，需要控制错误警报的概率和错过检测的概率。本文提出了一种基于最大似然方法的统计方法，以应对这一挑战并在近乎实时的地震参数（如Epicenter and Depth）中共同估计。使用来自地震网络公民科学计划的数据对该方法进行了测试，该计划实现了全球智能手机的EEWS。
Smartphone-based earthquake early warning systems (EEWS) are emerging as a complementary solution to classic EEWS based on expensive scientific-grade instruments. Smartphone-based systems, however, are characterized by a highly dynamic network geometry and by noisy measurements. Thus the need to control the probability of false alarm and the probability of missed detection. This paper proposes a statistical approach based on the maximum likelihood method to address this challenge and to jointly estimate in near real-time earthquake parameters like epicentre and depth. The approach is tested using data coming from the Earthquake Network citizen science initiative which implements a global smartphone-based EEWS.
