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dc.contributor.authorKiarie, F. K
dc.date.accessioned2016-05-16T13:55:32Z
dc.date.available2016-05-16T13:55:32Z
dc.date.issued2013
dc.identifier.issn2319-7064
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/14714
dc.description.abstractNonparametric estimation based on quantile regression methodology of Koenker and Basset (1978) and conventional parametric regression approaches were applied to a river regime to estimate volatility in streamflow discharge levels. Consistency and asymptotic normality properties of estimators obtained from both approaches were given. From the study results non-parametric quantile regression approach yielded better results than other methods. Other than for boundary effects which require boundary modifications, the model validation results implied good performance of the nonparametric model in estimating critical streamflow discharge levels.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Science and Research (IJSR)en_US
dc.subjectKernel estimateen_US
dc.subjectConsistencyen_US
dc.subjectAsymptotic normalityen_US
dc.subjectCritical discharge level.en_US
dc.subjectQuantile autoregression,en_US
dc.titleParametric and non-parametric model performance differences in estimation of critical stream flow discharge levelsen_US
dc.typeArticleen_US


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