Fitting extreme value distributions to the Zambezi River flood water levels recorded at Katima Mulilo in Namibia (1965-2003)

dc.contributor.advisorKoen, Chris
dc.contributor.advisorBlignaut, Renette J
dc.contributor.authorKamwi, Innocent Silibelo
dc.date.accessioned2022-03-07T07:44:03Z
dc.date.accessioned2024-05-14T09:53:10Z
dc.date.available2022-03-07T07:44:03Z
dc.date.available2024-05-14T09:53:10Z
dc.date.issued2005
dc.description>Magister Scientiae - MScen_US
dc.description.abstractThis study sought to identify and fit the appropriate extreme value distribution to flood data, using the method of maximum likelihood. To examine the uncertainty of the estimated parameters and evaluate the goodness of fit of the model identified. The study revealed that the three parameter Weibull and the generalised extreme value (GEV) distributions fit the data very well. Standard errors for the estimated parameters were calculated from the empirical information matrix. An upper limit to the flood levels followed from the fitted distribution.en_US
dc.identifier.urihttps://hdl.handle.net/10566/14879
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectExtreme value theoryen_US
dc.subjectGeneralized extreme value distributionen_US
dc.subjectQQ plotsen_US
dc.subjectLimit to flood levelsen_US
dc.subjectAnnual maximum flood levelen_US
dc.subjectWeibull distributionen_US
dc.subjectZambezi riveren_US
dc.subjectLikelihood ratio testingen_US
dc.subjectEmpirical information matrixen_US
dc.titleFitting extreme value distributions to the Zambezi River flood water levels recorded at Katima Mulilo in Namibia (1965-2003)en_US

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