Appropriate model selection methods for nonstationary generalized extreme value models

Journal of Hydrology

Volumn 547, Issue , 2017, Pages 557-574

  Kim, Hanbeen ^a   Kim, Sooyoung ^b   Shin, Hongjoon ^a   Heo, Jun Haeng ^a  

^a Yonsei University   (South Korea)

^b Hydrometeorological Cooperation Center   (South Korea)

Author keywords

Akaike's information criterion; Bayesian information criterion; Likelihood ratio test; Model selection method; Nonstationary GEV model; Proper model selection ratio

Indexed keywords

INTELLIGENT SYSTEMS; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; RAIN;

AKAIKE'S INFORMATION CRITERIONS; BAYESIAN INFORMATION CRITERION; LIKELIHOOD RATIO TESTS; MODEL SELECTION METHODS; NONSTATIONARY; PROPER MODELING;

STATISTICAL TESTS;

AKAIKE INFORMATION CRITERION; BAYESIAN ANALYSIS; HYDROLOGICAL RESPONSE; INFORMATION MANAGEMENT; MONTE CARLO ANALYSIS; PROBABILITY; RAINFALL;

KOREA;

EID: 85013635885     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2017.02.005     Document Type: Article

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