Huang, Ting ChungTing ChungHuangYIH-MIN WU2023-09-232023-09-232023-01-0113632469https://scholars.lib.ntu.edu.tw/handle/123456789/635752Earthquake early warning systems assess the size of an earthquake based on initial ground motion and provide warnings before the arrival of large waves. We employ the iterative regression to simultaneously estimate the station correlations and the corresponding linear relations for magnitude. We report the standard error reductions of the magnitude estimation based on the initial peak P-wave acceleration ((Formula presented.)), velocity ((Formula presented.)), and displacement ((Formula presented.)) as (Formula presented.), (Formula presented.), and (Formula presented.), respectively. Factor analysis of the stationary correction reveals its correlation with several factors. This study shows that station correction can help to improve the precision of magnitude estimation in the future.Earthquake Early Warning | Ground Motion | Ground Motion | Statistical Learning[SDGs]SDG11[SDGs]SDG13journal article10.1080/13632469.2023.22454982-s2.0-85167971053https://api.elsevier.com/content/abstract/scopus_id/85167971053