Fitting and testing the significance of linear trends in Gumbel- distributed data

Abstract

The widely-used hydrological procedures for calculating events with T-year return periods from data that follow a Gumbel distribution assume that the data sequence from which the Gumbel distribution is fitted remains stationary in time. If non-stationarity is suspected, whether as a consequence of changes in land-use practices or climate, it is common… (More)

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Cite this paper

@inproceedings{Clarke2002FittingAT, title={Fitting and testing the significance of linear trends in Gumbel- distributed data}, author={Robin T. Clarke}, year={2002} }