Semi-parametric and parametric inference of extreme value models for rainfall data

Water Resources Management

Volumn 24, Issue 6, 2010, Pages 1229-1249

  AghaKouchak, Amir ^a,b   Nasrollahi, Nasrin ^b  

^a UNIVERSITY OF STUTTGART   (Germany)

^b UNIVERSITY OF LOUISIANA AT LAFAYETTE   (United States)

Author keywords

Extreme rainfall; Extreme value index; Generalized Pareto Distribution; Semi parametric and parametric estimators

Indexed keywords

BOOTSTRAP TECHNIQUE; DAILY RAINFALL; EVENT PROBABILITY; EXTREME FLOOD; EXTREME RAINFALL; EXTREME VALUE; EXTREME VALUE INDEX; GENERALIZED PARETO DISTRIBUTIONS; OCCURRENCE PROBABILITY; PARAMETRIC INFERENCE; PARAMETRIC METHOD; RAINFALL DATA; RAINFALL EVENT; SEMIPARAMETRIC;

APPROXIMATION THEORY; DISTRIBUTION FUNCTIONS; EXTRAPOLATION; FLOOD CONTROL; RISK ASSESSMENT; RISK MANAGEMENT; TIME SERIES;

ESTIMATION;

BOOTSTRAPPING; CLUSTER ANALYSIS; EXTREME EVENT; FLOOD; PARAMETERIZATION; PRECIPITATION ASSESSMENT; PROBABILITY; RAINFALL; TIME SERIES ANALYSIS;

EID: 77952238186     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-009-9493-3     Document Type: Article

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