METHOD WHICH PRESERVES THE STATISTICS OF IMPORTANCE IN STORAGE APPLICATIONS USING RELATED RECORDS TO AUGMENT THE AVAILABLE RECORD.

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dc.contributor.authorZucchini W.
dc.contributor.authorHiemstra L.A.V.
dc.date.accessioned2011-05-15T16:05:59Z
dc.date.available2011-05-15T16:05:59Z
dc.date.issued1984
dc.description.abstractMethods are considered which extend short streamflow records by making use of related longer records, such as streamflow or rainfall records. The annual models proposed by R. M. Hirsch together with three additional models of the same type are considered and compared using a Monte Carlo experiment. Of particular concern was that the method should not introduce a systematic bias in the statistics of importance namely the mean, the standard deviation and the serial correlation coefficient of the stream flow series. The best method was then extended so that it could also be applied to seasonal flow for example monthly flow.
dc.description.versionConference Paper
dc.identifier.citation[No source information available]
dc.identifier.urihttp://hdl.handle.net/10019.1/13225
dc.publisherSouth African Dep of Environment Affairs (Technical Report n TR 119), Pretoria, S Afr
dc.subjectRUNOFF
dc.subjectSTATISTICAL METHODS
dc.subjectSTREAM FLOW
dc.subjectBOOTSTRAP SAMPLING
dc.subjectMONTE CARLO EXPERIMENT
dc.subjectRELATED LONGER RECORDS
dc.subjectSERIAL CORRELATION COEFFICIENT
dc.subjectSTORAGE APPLICATIONS
dc.subjectSYSTEMATIC BIAS
dc.subjectHYDROLOGY
dc.titleMETHOD WHICH PRESERVES THE STATISTICS OF IMPORTANCE IN STORAGE APPLICATIONS USING RELATED RECORDS TO AUGMENT THE AVAILABLE RECORD.
dc.typeConference Paper
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