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Kim, Hanbeen, Kim, Sooyoung, Shin, Hongjoon, Heo, Jun-Haeng (2017) Appropriate model selection methods for nonstationary generalized extreme value models. Journal of Hydrology, 547. 557-574 doi:10.1016/j.jhydrol.2017.02.005

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Reference TypeJournal (article/letter/editorial)
TitleAppropriate model selection methods for nonstationary generalized extreme value models
JournalJournal of Hydrology
AuthorsKim, HanbeenAuthor
Kim, SooyoungAuthor
Shin, HongjoonAuthor
Heo, Jun-HaengAuthor
Year2017 (April)Volume547
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2017.02.005Search in ResearchGate
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Mindat Ref. ID7244865Long-form Identifiermindat:1:5:7244865:4
GUID0
Full ReferenceKim, Hanbeen, Kim, Sooyoung, Shin, Hongjoon, Heo, Jun-Haeng (2017) Appropriate model selection methods for nonstationary generalized extreme value models. Journal of Hydrology, 547. 557-574 doi:10.1016/j.jhydrol.2017.02.005
Plain TextKim, Hanbeen, Kim, Sooyoung, Shin, Hongjoon, Heo, Jun-Haeng (2017) Appropriate model selection methods for nonstationary generalized extreme value models. Journal of Hydrology, 547. 557-574 doi:10.1016/j.jhydrol.2017.02.005
In(2017) Journal of Hydrology Vol. 547. Elsevier BV

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Kim, Sooyoung, Shin, Hongjoon, Joo, Kyoungwon, Heo, Jun-Haeng (2012) Development of plotting position for the general extreme value distribution. Journal of Hydrology, 475. 259-269 doi:10.1016/j.jhydrol.2012.09.055
Kim, Sooyoung, Shin, Hongjoon, Ahn, Hyunjun, Heo, Jun-Haeng (2015) Development of an unbiased plotting position formula considering the coefficient of skewness for the generalized logistic distribution. Journal of Hydrology, 527. 471-481 doi:10.1016/j.jhydrol.2015.05.002
Heo, Jun-Haeng, Kho, Youn Woo, Shin, Hongjoon, Kim, Sooyoung, Kim, Taesoon (2008) Regression equations of probability plot correlation coefficient test statistics from several probability distributions. Journal of Hydrology, 355 (1). 1-15 doi:10.1016/j.jhydrol.2008.01.027
Kim, Sunghun, Joo, Kyungwon, Kim, Hanbeen, Shin, Ju-Young, Heo, Jun-Haeng (2021) Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation. Journal of Hydrology, 596. 125685pp. doi:10.1016/j.jhydrol.2020.125685
Shin, Hongjoon, Kim, Taesoon, Kim, Sooyoung, Heo, Jun-Haeng (2010) Estimation of asymptotic variances of quantiles for the generalized logistic distribution. Stochastic Environmental Research and Risk Assessment, 24 (2). 183-197 doi:10.1007/s00477-009-0309-z
Kim, Hanbeen, Lee, Jung-Hyun, Park, Hyuck-Jin, Heo, Jun-Haeng (2021) Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis. Engineering Geology, 294. 106372pp. doi:10.1016/j.enggeo.2021.106372
Heo, Jun-Haeng, Shin, Hongjoon, Nam, Woosung, Om, Juseong, Jeong, Changsam (2013) Approximation of modified Andersonā€“Darling test statistics for extreme value distributions with unknown shape parameter. Journal of Hydrology, 499. 41-49 doi:10.1016/j.jhydrol.2013.06.008
Kim, Taereem, Shin, Juā€Young, Kim, Hanbeen, Heo, Junā€Haeng (2020) Ensembleā€Based Neural Network Modeling for Hydrologic Forecasts: Addressing Uncertainty in the Model Structure and Input Variable Selection. Water Resources Research, 56 (6) doi:10.1029/2019wr026262
Shin, Hongjoon, Jung, Younghun, Jeong, Changsam, Heo, Jun-Haeng (2012) Assessment of modified Andersonā€“Darling test statistics for the generalized extreme value and generalized logistic distributions. Stochastic Environmental Research and Risk Assessment, 26 (1). 105-114 doi:10.1007/s00477-011-0463-y
Kim, Taereem, Shin, Ju-Young, Kim, Sunghun, Heo, Jun-Haeng (2018) Identification of relationships between climate indices and long-term precipitation in South Korea using ensemble empirical mode decomposition. Journal of Hydrology, 557. 726-739 doi:10.1016/j.jhydrol.2017.12.069
Kim, Taereem, Shin, Ju-Young, Kim, Hanbeen, Kim, Sunghun, Heo, Jun-Haeng (2019) The Use of Large-Scale Climate Indices in Monthly Reservoir Inflow Forecasting and Its Application on Time Series and Artificial Intelligence Models. Water, 11 (2) 374pp. doi:10.3390/w11020374
 
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