Open AccessA Study of Outlier Detection Using the Mixture of Extreme Distributions Based on Deep-Sea Fishery Data
Author(s) -
JungJin Lee,
Jae Kyoung Kim
Publication year - 2015
Publication title -
eung'yong tong'gye yeon'gu/the korean journal of applied statistics
Language(s) - English
Resource type - Journals
eISSN - 2383-5818
pISSN - 1225-066X
DOI - 10.5351/kjas.2015.28.5.847
Subject(s) - fishing , outlier , catch per unit effort , fishery , fish <actinopterygii> , environmental science , extreme value theory , distribution (mathematics) , anomaly (physics) , sea surface temperature , oceanography , geography , statistics , geology , mathematics , biology , mathematical analysis , physics , condensed matter physics