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A nonparametric kernel estimation model is proposed and developed for estimating low flow quantiles. Based on annual minimum low flow data and Monte Carlo simulation tests, the descriptive and predictive ability of the proposed model is compared with that of Weibull models. The results indicate that it has small bias and root mean square error in low flow quantile estimates. Application of the...
A procedure based on a combination of descriptive and predictive ability tests, adopted for the selection of a suitable flood frequency model for use in Tanzania, is described. Based on this study the pooled annual maximum data of 53 stations in Tanzania can be equally well described by Pearson Type 3, log logistic or the general extreme value distributions, and the preferred method of parameter...
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