State-space models for analysis of hydrological series

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dc.contributor.authorAgwuegbo, S.O.N.
dc.contributor.authorAdewole, A.P.
dc.date.accessioned2019-09-10T08:59:34Z
dc.date.available2019-09-10T08:59:34Z
dc.date.issued2010-12
dc.description.abstractIn this study, the class of state pace model for which optimal forecasts may be computed using a recursive estimation procedure called the Kalman Filter is developed for the analysis of hydrological series. The state-space formulation yields a practical means of estimation for his complex time varying dynamical process. It provided a generic and flexible framework for hydrological modelling and inference. A straight forward implementation was achieved in the software package S-Plusen_US
dc.identifier.citationAgwuegbo, S.O.N. and Adewole, A.P. (2010) State-space models for analysis of hydrological series. Journal of Engineering Research. Vol.15(4)en_US
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/5445
dc.language.isoenen_US
dc.publisherJournal of Engineering Researchen_US
dc.relation.ispartofseriesJournal of Engineering Research;Vol.15(4)
dc.subjectHydrological seriesen_US
dc.subjectSoftware packageen_US
dc.subjectSoftware package S-Plusen_US
dc.subjectKalman Filteren_US
dc.subjectResearch Subject Categories::TECHNOLOGY::Information technology::Computer scienceen_US
dc.titleState-space models for analysis of hydrological seriesen_US
dc.typeArticleen_US
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