A framework of change-point detection for multivariate hydrological series

Water Resources Research

Volumn 51, Issue 10, 2015, Pages 8198-8217

  Xiong, Lihua ^a   Jiang, Cong ^a   Xu, Chong Yu ^a,b   Yu, Kun Xia ^c   Guo, Shenglian ^a  

^a WUHAN UNIVERSITY   (China)

^b UNIVERSITY OF OSLO   (Norway)

^c XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

change point detection; copula based likelihood ratio; Cram r von Mises statistic; dependence structure; multivariate hydrological series; reservoir impact

Indexed keywords

DISTRIBUTION FUNCTIONS; FLOODS;

CHANGE POINT DETECTION; DEPENDENCE STRUCTURES; HYDROLOGICAL SERIES; LIKELIHOOD RATIOS; VON MISES;

RESERVOIRS (WATER);

DETECTION METHOD; FLOOD; HYDROLOGICAL MODELING; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; MULTIVARIATE ANALYSIS; RESERVOIR; RIVER DISCHARGE; TREND ANALYSIS;

ANKANG; CHINA; HAN RIVER [HUBEI-SHAANXI]; SHAANXI;

EID: 84956848784     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017677     Document Type: Article

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