Stationarity is undead: Uncertainty dominates the distribution of extremes

Advances in Water Resources

Volumn 77, Issue , 2015, Pages 17-36

  Serinaldi, Francesco ^a   Kilsby, Chris G ^a,b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b Towers Watson   (United Kingdom)

Author keywords

Generalized additive models; Generalized linear models; Nonstationary confidence intervals; Nonstationary flood frequency analysis; Nonstationary return period; Risk of failure

Indexed keywords

DISTRIBUTION FUNCTIONS; FLOOD CONTROL; FLOODS; INFORMATION MANAGEMENT; RISK ASSESSMENT; STATISTICAL METHODS; TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS;

CONFIDENCE INTERVAL; FLOOD FREQUENCY ANALYSIS; GENERALIZED ADDITIVE MODEL; GENERALIZED LINEAR MODEL; RETURN PERIODS; RISK OF FAILURE;

STRUCTURAL DESIGN;

CONFIDENCE INTERVAL; FLOOD FREQUENCY; FREQUENCY ANALYSIS; HYDROLOGICAL MODELING; RETURN PERIOD; UNCERTAINTY ANALYSIS;

CHARLOTTE; MINNESOTA; NEW JERSEY; NORTH CAROLINA; NORTH DAKOTA; RED RIVER [UNITED STATES]; UNITED STATES;

EID: 84921931424     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2014.12.013     Document Type: Article

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