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Galina RagulinaTrond Reitan
Taylor & Francis
Hydrological Sciences Journal, 2017. doi:10.1080/02626667.2016.1260134
Extreme value theorygeneralized extreme value (GEV)shape parameterBayesian approachextreme precipitationspatial modelling
10.1080/02626667.2016.1260134http://dx.doi.org/10.1080/02626667.2016.12601342017-01-18truewww.tandfonline.com10.1080/02626667.2016.1260134www.tandfonline.comtrue2017-01-1810.1080/02626667.2016.1260134application/pdf10.1080/02626667.2016.1260134enGeneralized extreme value shape parameter and its nature for extreme precipitation using long time series and the Bayesian approach
Galina RagulinaTrond Reitan
Taylor & Francis
Hydrological Sciences Journal, 2017. doi:10.1080/02626667.2016.1260134
Extreme value theorygeneralized extreme value (GEV)shape parameterBayesian approachextreme precipitationspatial modelling
JournalHydrological Sciences Journal© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.0262-66672150-3435000011710.1080/02626667.2016.1260134http://dx.doi.org/10.1080/02626667.2016.1260134
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2017-01-18T03:19:23+05:30Arbortext Advanced Print Publisher 11.0.3352/W Unicode2017-01-19T22:20:35-08:002017-01-19T22:20:35-08:00
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